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Social media are interactive technologies that facilitate the creation and sharing of information, ideas, interests, and other forms of expression through virtual communities and networks. While challenges to the definition of social media arise due to the variety of stand-alone and built-in social media services currently available, there are some common features:

1. Social media are interactive Web 2.0 Internet-based applications.
2. User-generated content—such as text posts or comments, digital photos or videos, and data generated through all online interactions—is the lifeblood of social media.
3. Users create service-specific profiles for the website or app that are designed and maintained by the social media organization.
4. Social media helps the development of online social networks by connecting a user's profile with those of other individuals or groups.

The term social in regard to media suggests that platforms are user-centric and enable communal activity. As such, social media can be viewed as online facilitators or enhancers of human networks—webs of individuals who enhance social connectivity.

Users usually access social media services through web-based apps on desktops or download services that offer social media functionality to their mobile devices (e.g., smartphones and tablets). As users engage with these electronic services, they create highly interactive platforms in which individuals, communities, and organizations can share, co-create, discuss, participate, and modify user-generated or self-curated content posted online. Additionally, social media are used to document memories, learn about and explore things, advertise oneself, and form friendships along with the growth of ideas from the creation of blogs, podcasts, videos, and gaming sites. This changing relationship between humans and technology is the focus of the emerging field of technological self-studies. Some of the most popular social media websites, with more than 100 million registered users, include Twitter, Facebook (and its associated Messenger), WeChat, ShareChat, Instagram, QZone, Weibo, VK, Tumblr, Baidu Tieba, and LinkedIn. Depending on interpretation, other popular platforms that are sometimes referred to as social media services include YouTube, QQ, Quora, Telegram, WhatsApp, Signal, LINE, Snapchat, Pinterest, Viber, Reddit, Discord, TikTok, Microsoft Teams, and more. Wikis are examples of collaborative content creation.

Social media outlets differ from traditional media (e.g., print magazines and newspapers, TV, and radio broadcasting) in many ways, including quality, reach, frequency, usability, relevancy, and permanence. Additionally, social media outlets operate in a dialogic transmission system (i.e., many sources to many receivers) while traditional media outlets operate under a monologic transmission model (i.e., one source to many receivers). For instance, a newspaper is delivered to many subscribers, and a radio station broadcasts the same programs to an entire city.

Since the dramatic expansion of the Internet, digital media or digital rhetoric can be used to represent or identify a culture. Studying the rhetoric that exists in the digital environment has become a crucial new process for many scholars.

Observers have noted a wide range of positive and negative impacts when it comes to the use of social media. Social media can help to improve an individual's sense of connectedness with real or online communities and can be an effective communication (or marketing) tool for corporations, entrepreneurs, non-profit organizations, advocacy groups, political parties, and governments. Observers have also seen that there has been a rise in social movements using social media as a tool for communicating and organizing in times of political unrest.

Social media can also be used to read or share news, whether it is true or false.

History of social media

Early computing

The PLATO system was launched in 1960 after being developed at the University of Illinois and subsequently commercially marketed by Control Data Corporation. It offered early forms of social media features with 1973-era innovations such as Notes, PLATO's message-forum application; TERM-talk, its instant-messaging feature; Talkomatic, perhaps the first online chat room; News Report, a crowdsourced online newspaper, and blog and Access Lists, enabling the owner of a note file or other application to limit access to a certain set of users, for example, only friends, classmates, or co-workers.

ARPANET, which first came online in 1967, had by the late 1970s developed a rich cultural exchange of non-government/business ideas and communication, as evidenced by the network etiquette (or 'netiquette') described in a 1982 handbook on computing at MIT's Artificial Intelligence Laboratory. ARPANET evolved into the Internet following the publication of the first Transmission Control Protocol (TCP) specification, RFC 675 (Specification of Internet Transmission Control Program), written by Vint Cerf, Yogen Dalal, and Carl Sunshine in 1974. This became the foundation of Usenet, conceived by Tom Truscott and Jim Ellis in 1979 at the University of North Carolina at Chapel Hill and Duke University, and established in 1980.

A precursor of the electronic bulletin board system (BBS), known as Community Memory, appeared by 1973. True electronic BBSs arrived with the Computer Bulletin Board System in Chicago, which first came online on February 16, 1978. Before long, most major cities had more than one BBS running on TRS-80, Apple II, Atari, IBM PC, Commodore 64, Sinclair, and similar personal computers. The IBM PC was introduced in 1981, and subsequent models of both Mac computers and PCs were used throughout the 1980s. Multiple modems, followed by specialized telecommunication hardware, allowed many users to be online simultaneously. Compuserve, Prodigy, and AOL were three of the largest BBS companies and were the first to migrate to the Internet in the 1990s. Between the mid-1980s and the mid-1990s, BBSes numbered in the tens of thousands in North America alone. Message forums (a specific structure of social media) arose with the BBS phenomenon throughout the 1980s and early 1990s. When the World Wide Web (WWW, or 'the web') was added to the Internet in the mid-1990s, message forums migrated to the web, becoming Internet forums, primarily due to cheaper per-person access as well as the ability to handle far more people simultaneously than telco modem banks.

Digital imaging and semiconductor image sensor technology facilitated the development and rise of social media. Advances in metal–oxide–semiconductor (MOS) semiconductor device fabrication, reaching smaller micron and then sub-micron levels during the 1980s–1990s, led to the development of the NMOS (n-type MOS) active-pixel sensor (APS) at Olympus in 1985, and then the complementary MOS (CMOS) active-pixel sensor (CMOS sensor) at NASA's Jet Propulsion Laboratory (JPL) in 1993. CMOS sensors enabled the mass proliferation of digital cameras and camera phones, which bolstered the rise of social media.

Development of social-media platforms

In 1991, when Tim Berners-Lee integrated hypertext software with the Internet, he created the World Wide Web, marking the beginning of the modern era of networked communication. This breakthrough facilitated the formation of online communities and enabled support for offline groups through the use of weblogs, list servers, and email services. The evolution of online services progressed from serving as channels for networked communication to becoming interactive platforms for networked social interaction with the advent of Web 2.0.

The roots of social media can be traced back to the mid-1990s with the advent of platforms like GeoCities, Classmates.com, and SixDegrees.com. While instant messaging and chat clients existed at the time, SixDegrees was unique as it was the first online service designed for real people to connect using their actual names. It boasted features like profiles, friends lists, and school affiliations, making it "the very first social networking site" according to CBS News. The platform's name was inspired by the "six degrees of separation" concept, which suggests that every person on the planet is just six connections away from everyone else.

Fast forward to the early 2000s, and social media platforms gained widespread popularity with the likes of Friendster and Myspace, followed by Facebook, YouTube, and Twitter, among others.

Research from 2015 shows that the world spent 22% of their online time on social networks, thus suggesting the popularity of social media platforms, likely fueled by the widespread adoption of smartphones. There are as many as 4.76 billion social media users in the world as of January 2023, equating to 59.4% of the total global population.

Definition and features

The idea that social media are defined simply by their ability to bring people together has been seen as too broad, as this would suggest that fundamentally different technologies like the telegraph and telephone are also social media. The terminology is unclear, with some early researchers referring to social media as social networks or social networking services in the mid-2000s. A more recent paper from 2015 reviewed the prominent literature in the area and identified four common features unique to then-current social media services:

1. Social media are Web 2.0 Internet-based applications.
2. User-generated content (UGC) is the lifeblood of the social media organism.
3. Users create service-specific profiles for the site or app that are designed and maintained by the social media organization.
4. Social media facilitate the development of online social networks by connecting a user's profile with those of other individuals or groups.

In 2019, Merriam-Webster defined social media as "forms of electronic communication (such as websites for social networking and microblogging) through which users create online communities to share information, ideas, personal messages, and other content (such as videos)."

While the variety of evolving stand-alone and built-in social media services makes it challenging to define them, marketing and social media experts broadly agree that social media includes the following 13 types:

• Blogs (ex. Huffington Post, Boing Boing)
• Business networks (ex. LinkedIn, XING)
• Enterprise social networks (ex. Yammer, Socialcast)
• Forums (ex. Gaia Online, IGN Boards)
• Microblogs (ex. Twitter, Tumblr)
• Photo sharing (ex. Flickr, Photobucket)
• Products/services review (ex. Amazon, Elance)
• Social bookmarking (ex. Delicious, Pinterest)
• Social gaming (ex. Mafia Wars)
• Social network sites (ex. Facebook, Instagram)
• Video sharing (ex. YouTube, Vimeo)
• Virtual worlds (ex. Second Life, Twinity)

Mobile social media

Mobile social media refers to the use of social media on mobile devices such as smartphones and tablet computers. Mobile social media are useful applications of mobile marketing because the creation, exchange, and circulation of user-generated content can assist companies with marketing research, communication, and relationship development. Mobile social media differ from others because they incorporate the current location of the user (location-sensitivity) or the time delay between sending and receiving messages.

Social media promotes users to share content with others and display content in order to enhance a particular brand or product. Social media allows people to be creative and share interesting ideas with their followers or fans. Certain social media applications such as Twitter, Facebook, and Instagram are places where users share specific political or sports content. Many reporters and journalists produce updates and information on sports and political news. It can truly give users pertinent and necessary information to stay up to date on relevant news stories and topics. However, there is a downside to it. Users are advised to exercise due diligence when they are using social media platforms.

According to Andreas Kaplan, mobile social media applications can be differentiated among four types:

1. Space-timers (location and time-sensitive): Exchange of messages with relevance mostly for one specific location at one specific point in time (e.g. Facebook Places, WhatsApp, Telegram, Foursquare)
2. Space-locators (only location sensitive): Exchange of messages with relevance for one specific location, which is tagged to a certain place and read later by others (e.g. Yelp, Qype, Tumblr, Fishbrain)
3. Quick-timers (only time sensitive): Transfer of traditional social media mobile apps to increase immediacy (e.g. posting on Twitter or status updates on Facebook)
4. Slow-timers (neither location nor time sensitive): Transfer of traditional social media applications to mobile devices (e.g. watching a YouTube video or reading/editing a Misplaced Pages article)

Elements and function

Viral content

Social media sites are powerful tools for sharing content across networks. Certain content has the potential to spread virally, an analogy for the way viral infections spread from individual to individual. When content or websites go viral, users are more likely to share them with their social network, which leads to even more sharing.

Viral marketing campaigns are particularly attractive to businesses because they can achieve widespread advertising coverage at a fraction of the cost of traditional marketing campaigns. Nonprofit organizations and activists may also use social media to post content with the aim of it going viral.

Many social media sites provide specific functionality to help users re-share content, such as Twitter's "retweet" button or Facebook's "share" option. This feature is especially popular on Twitter, allowing users to keep up with important events and stay connected with their peers. When certain posts become popular, they start to get retweeted over and over again, becoming viral. Hashtags can also be used in tweets to take count of how many people have used that hashtag.

However, it's important to note that not all content has the potential to go viral, and it's difficult to predict what content will take off. Despite this, viral marketing campaigns can still be a cost-effective and powerful tool for promoting a message or product.

Bots

Bots are automated programs that operate on the internet, which have become increasingly popular due to their ability to automate many communication tasks. This has led to the creation of a new industry of bot providers.

Chatbots and social bots are programmed to mimic natural human interactions such as liking, commenting, following, and unfollowing on social media platforms. As companies aim for greater market shares and increased audiences, internet bots have also been developed to facilitate social media marketing. With the existence of social bots and chatbots, however, the marketing industry has also met an analytical crisis, as these bots make it difficult to differentiate between human interactions and automated bot interactions. For instance, marketing data has been negatively affected by some bots, causing "digital cannibalism" in social media marketing. Additionally, some bots violate the terms of use on many social media platforms such as Instagram, which can result in profiles being taken down and banned.

'Cyborgs'—either bot-assisted humans or human-assisted bots—are used for a number of different purposes both legitimate and illegitimate, from spreading fake news to creating marketing buzz. A common legitimate use includes using automated programs to post on social media at a specific time. In these cases, often, the human writes the post content and the bot schedules the time of posting. In other cases, the cyborgs are more nefarious, e.g., contributing to the spread of fake news and misinformation. Often these accounts blend human and bot activity in a strategic way, so that when an automated account is publicly identified, the human half of the cyborg is able to take over and could protest that the account has been used manually all along. In many cases, these accounts that are being used in a more illegitimate fashion try to pose as real people; in particular, the number of their friends or followers resemble that of a real person. Cyborgs are also related to sock puppet accounts, where one human pretends to be someone else, but can also include one human operating multiple cyborg accounts.

New social media technology

There has been rapid growth in the number of United States patent applications that cover new technologies that are related to social media, and the number of them that are published has been growing rapidly over the past five years. As of 2020, there are over 5000 published patent applications in the United States. As many as 7000 applications may be currently on file including those that have not been published yet; however, only slightly over 100 of these applications have issued as patents, largely due to the multi-year backlog in examination of business method patents, i.e., patents that outline and claim new methods of doing business.

Platform convergence

As an instance of technological convergence, various social media platforms of different kinds adapted functionality beyond their original scope, increasingly overlapping with each other over time, albeit usually not implemented as completely as on dedicated platforms.

Examples are the social hub site Facebook launching an integrated video platform in May 2007, and Instagram, whose original scope was low-resolution photo sharing, introducing the ability to share quarter-minute 640×640 pixel videos in 2013 (later extended to a minute with increased resolution), acting like a minimal video platform without video seek bar. Instagram later implemented stories (short videos self-destructing after 24 hours), a concept popularized by Snapchat, as well as IGTV, for seekable videos of up to ten minutes or one hour depending on account status. Stories have been later adapted by the dedicated video platform YouTube in 2018, although access is restricted to the mobile apps, excluding mobile and desktop websites.

Twitter, whose original scope was text-based microblogging, later adapted photo sharing functionality (deprecating third-party services such as TwitPic), later video sharing with 140-second time limit and view counter but no manual quality selection or subtitles like on dedicated video platforms, and originally only available to mobile app users but later implemented in their website front ends. Then a media studio feature for business users, which resembles YouTube's Creator Studio.

The discussion platform Reddit added an integrated image hoster in June 2016 after Reddit users commonly relied on the external standalone image sharing platform Imgur, and an internal video hoster around a year later. In July 2020, the ability to share multiple images in a single post (image galleries), a feature known from Imgur, was implemented. Imgur itself implemented sharing videos of up to 30 seconds in May 2018, later extended to one minute.

Starting in 2018, the dedicated video platform YouTube rolled out a Community feature accessible through a channel tab (which usurps the previous Discussion channel tab), where text-only posts, as well as polls can be shared. To be enabled, channels have to pass a subscriber count threshold which has been lowered over time.

Statistics on usage and membership

According to Statista, it is estimated that, in 2022, there are around 3.96 billion people who are using social media around the globe; up from 3.6 billion in 2020. This number is expected to increase to 4.41 billion in 2025.

Most popular social networking services

The following is a list of the most popular social networking services based on the number of active users as of January 2022 per Statista.

Usage: Before the COVID-19 pandemic

A study from 2009 suggests that there may be individual differences that help explain who uses social media and who does not: extraversion and openness have a positive relationship with social media, while emotional stability has a negative sloping relationship with social media. A separate study from 2015 found that people with a higher social comparison orientation appear to use social media more heavily than people with low social comparison orientation.

Data from Common Sense Media has suggested that children under the age of 13 in the United States use social networking services despite the fact that many social media sites have policies that state one must be at least 13 years old or older to join. In 2017, Common Sense Media conducted a nationally representative survey of parents of children from birth to age 8 and found that 4% of children at this age used social media sites such as Instagram, Snapchat, or (now-defunct) Musical.ly "often" or "sometimes". A different nationally representative survey by Common Sense in 2019 surveyed young Americans ages 8–16 and found that about 31% of children ages 8–12 ever use social media such as Snapchat, Instagram, or Facebook. In that same survey, when American teens ages 16–18 were asked when they started using social media, 28% said they started to use it before they were 13 years old. However, the median age of starting to use social media was 14 years old.

Usage: During the COVID-19 pandemic

Amount of usage by minors

Social media plays a role in communication during COVID-19 pandemic. In June 2020, during the COVID-19 pandemic, a nationally representative survey by Cartoon Network and the Cyberbullying Research Center surveyed Americans tweens (ages 9–12) found that the most popular overall application in the past year was YouTube (67%). (In general, as age increased, the tweens were more likely to have used major social media apps and games.) Similarly, a nationally representative survey by Common Sense Media conducted in 2020 of Americans ages 13–18 found that YouTube was also the most popular social media service (used by 86% of 13- to 18-year-old Americans in the past year). As children grow older, they utilize certain social media services on a frequent basis and often use the application YouTube to consume content. The use of social media certainly increases as people grow older and it has become a customary thing to have an Instagram and Twitter account.

Reasons for use by adults

While adults were already using social media before the COVID-19 pandemic, more started using it to stay socially connected and to get updates on the pandemic.

"Social media have become popularly use to seek for medical information and have fascinated the general public to collect information regarding corona virus pandemics in various perspectives. During these days, people are forced to stay at home and the social media have connected and supported awareness and pandemic updates."

This also made healthcare workers and systems more aware of social media as a place people were getting health information about the pandemic:

"During the COVID-19 pandemic, social media use has accelerated to the point of becoming a ubiquitous part of modern healthcare systems."

Though this also led to the spread of disinformation, indeed, on December 11, 2020, the CDC put out a "Call to Action: Managing the Infodemic". Some healthcare organizations even used hashtags as interventions and published articles on their Twitter data:

"Promotion of the joint usage of #PedsICU and #COVID19 throughout the international pediatric critical care community in tweets relevant to the coronavirus disease 2019 pandemic and pediatric critical care."

However others in the medical community were concerned about social media addiction, due to it as an increasingly important context and therefore "source of social validation and reinforcement" and are unsure if increased social media use is a coping mechanism or harmful.

Timeline of social media (1973–2022)

Use at the organizational level

Governments

Governments may use social media to (for example):

• inform their opinions to public
• interact with citizens
• foster citizen participation
• further open government
• analyze/monitor public opinion and activities
• educate the public about risks and public health.

Law enforcement and investigations

Social media has been used extensively in civil and criminal investigations. It has also been used to assist in searches for missing persons. Police departments often make use of official social media accounts to engage with the public, publicize police activity, and burnish law enforcement's image; conversely, video footage of citizen-documented police brutality and other misconduct has sometimes been posted to social media.

In the United States U.S. Immigration and Customs Enforcement identifies and track individuals via social media, and also has apprehended some people via social media based sting operations. U.S. Customs and Border Protection (also known as CPB) and the United States Department of Homeland Security use social media data as influencing factors during the visa process, and continue to monitor individuals after they have entered the country. CPB officers have also been documented performing searches of electronics and social media behavior at the border, searching both citizens and non-citizens without first obtaining a warrant.

Government reputation management

As social media gained momentum among the younger generations, governments began using it to improve their image, especially among the youth. In January 2021, Egyptian authorities were found to be using Instagram influencers as part of its media ambassadors program. The program was designed to revamp Egypt's image and to counter the bad press Egypt had received because of the country's human rights record. Saudi Arabia and the United Arab Emirates participated in similar programs. Similarly, Dubai has also extensively relied on social media and influencers to promote tourism. However, the restrictive laws of Dubai have always kept these influencers within the limits to not offend the authorities, or to criticize the city, politics or religion. The content of these foreign influencers is controlled to make sure that nothing portrays Dubai in a negative light.

Businesses

Businesses can use social media tools for marketing research, communication, sales promotions/discounts, informal employee-learning/organizational development, relationship development/loyalty programs, and e-Commerce. Companies are increasingly using social-media monitoring tools to monitor, track, and analyze online conversations on the Web about their brand or products or about related topics of interest. This can prove useful in public relations management and advertising-campaign tracking, allowing analysts to measure return on investment for their social media ad spending, competitor-auditing, and for public engagement. Tools range from free, basic applications to subscription-based, more in-depth tools. Often social media can become a good source of information and explanation of industry trends for a business to embrace change. Within the financial industry, companies can utilize the power of social media as a tool for analyzing the sentiment of financial markets. These range from the marketing of financial products, gaining insights into market sentiment, future market predictions, and as a tool to identify insider trading.

To properly take advantage of these benefits, businesses need to have a set of guidelines that they can use on different social media platforms. Social media can enhance a brand through a process called "building social authority". However, this process can be difficult, because one of the foundational concepts in social media is that one cannot completely control one's message through social media but rather one can simply begin to participate in the "conversation" expecting that one can achieve a significant influence in that conversation. Because of the wide use of social media by consumers and their own employees, companies use social media on a customer-organizational level; and an intra-organizational level. Social media, by connecting individuals to new ties via the social network can increase entrepreneurship and innovation, especially for those individuals who lack conventional information channels due to their lower socioeconomic background.

Social media marketing

Social media marketing is the use of social media platforms and websites to promote a product or service and also to establish a connection with its customers. Social media marketing has increased due to the growing active user rates on social media sites. Though these numbers are not exponential. For example, as of 2018 Facebook had 2.2 billion users, Twitter had 330 million active users and Instagram had 800 million users. Then in 2021 Facebook had 2.89 billion users and Twitter had 206 million users. Similar to traditional advertising, all of social media marketing can be divided into three types: (1) paid media, (2) earned media, and (3) owned media. Paid social media is when a firm directly buys advertising on a social media platform. Earned social media is when the firms does something that impresses its consumers or other stakeholders and they spontaneously post their own content about it on social media. Owned social media is when the firm itself owns the social media channel and creates content for its followers.

One of the main uses is to interact with audiences to create awareness of the company or organization, with the main idea of creating a two-way communication system where the audience and customers can interact. (e.g., customers can provide feedback on the firm's products.) However, since social media allows consumers to spread opinions and share experiences in a peer-to-peer fashion, this has shifted some of the power from the organization to consumers, since these messages can be transparent and honest. Or at least appear so (more on this at influencers).

Social media can also be used to directly advertise; placing an advert on Facebook's Newsfeed, for example, can provide exposure of the brand to a large number of people. Social media platforms also enable targeting specific audiences with advertising. Users of social media are then able to like, share, and comment on the advert; this turns the passive advertising consumers into active advertising producers since they can pass the advert's message on to their friends. Companies using social media marketing have to keep up with the different social media platforms and stay on top of ongoing trends. Since the different platforms and trends attract different audiences, firms must be strategic about their use of social media to attract the right audience. Moreover, the tone of the content can affect the efficacy of social media marketing. Companies such as fast food franchise Wendy's have used humor (such as shitposting) to advertise their products by poking fun at competitors such as McDonald's and Burger King. This particular example spawned a lot of fanart of the Wendy's mascot which circulated widely online, (particularly on sites like DeviantArt) increasing the effect of the marketing campaign. Other companies such as Juul have used hashtags (such as #ejuice and #eliquid) to promote themselves and their products.

Social media personalities, often referred to as "influencers", who are internet celebrities who have been employed or sponsored by marketers to promote products online. Research shows that digital endorsements seem to be successfully attracting social media users, especially younger consumers who have grown up in the digital age. In 2013, the United Kingdom Advertising Standards Authority (ASA) began to advise celebrities and sports stars to make it clear if they had been paid to tweet about a product or service by using the hashtag #spon or #ad within tweets containing endorsements, and the US Federal Trade Commission has issued similar guidelines. The practice of harnessing social media personalities to market or promote a product or service to their following is commonly referred to as Influencer Marketing. In 2019 The Cambridge Dictionary defines an "influencer" as any person (personality, blogger, journalist, celebrity) who has the ability to affect the opinions, behaviors, or purchases of others through the use of social media.

Marketing efforts can also take advantage of the peer effects in social media. Consumers tend to treat content on social media differently from traditional advertising (such as print ads), but these messages may be part of an interactive marketing strategy involving modeling, reinforcement, and social interaction mechanisms. A 2012 study focused on this communication described how communication between peers through social media can affect purchase intentions: a direct impact through conformity, and an indirect impact by stressing product engagement. This study indicated that social media communication between peers about a product had a positive relationship with product engagement.

Politics

This article reads like a press release or a news article and may be largely based on routine coverage. Please help improve this article and add independent sources. (June 2016)

Social media have a range of uses in political processes and activities. Social media have been championed as allowing anyone with access to an Internet connection to become a content creator and as empowering users. The role of social media in democratizing media participation, which proponents herald as ushering in a new era of participatory democracy, with all users able to contribute news and comments, may fall short of the ideals, given that many often follow like-minded individuals, as noted by Philip Pond and Jeff Lewis. Online-media audience-members are largely passive consumers, while content creation is dominated by a small number of users who post comments and write new content. Online engagement does not always translate into real-world action, and Howard, Busch and Sheets have argued that there is a digital divide in North America because of the continent's history, culture, and geography.

Younger generations are becoming more involved in politics due to the increase of political news posted on social media. Political campaigns are targeting millennials online via social-media posts in hope that they will increase their political engagement. Social media was influential in the widespread attention given to the revolutionary outbreaks in the Middle East and North Africa during 2011. During the Tunisian revolution in 2011, people used Facebook to organize meetings and protests. However, debate persists about the extent to which social media facilitated this kind of political change.

Social-media footprints of candidates for political office have grown during the last decade - the 2016 United States presidential election provided good examples. Dounoucos et al. noted that Twitter use by candidates was unprecedented during that election cycle. Most candidates in the United States have a Twitter account. The public has also increased their reliance on social-media sites for political information. In the European Union, social media have amplified political messages.

Militant groups have begun to see social media as a major organizing and recruiting tool. The Islamic State of Iraq and the Levant (also known as ISIL, ISIS, and Daesh) has used social media to promote its cause. In 2014, #AllEyesonISIS went viral on Arabic Twitter. ISIS produces an online magazine named the Islamic State Report to recruit more fighters. State-sponsored cyber-groups have weaponized social-media platforms to attack governments in the United States, the European Union, and the Middle East. Although phishing attacks via email are the most commonly used tactic to breach government networks, phishing attacks on social media rose 500% in 2016.

Increasing political influence on social media saw several campaigns running from one political side against another. Often, foreign-originated social-media campaigns have sought to influence political opinion in another country. For example, a Twitter campaign run in Saudi Arabia produced thousands of tweets about Hillary Clinton's trending on #HillaryEmails by supporters of Mohammed bin Salman. It also involved Riyadh's social-marketing firm, SMAAT, which had a history of running such campaigns on Twitter. Politicians themselves use social media to their advantage - and to spread their campaign messages and to influence voters.

Due to the growing abuse of human rights in Bahrain, activists have used social media to report acts of violence and injustice. They publicized the brutality of government authorities and police, who were detaining, torturing and threatening many individuals. On the other hand, Bahrain's government was using social media to track and target rights activists and individuals who were critical of the authorities; the government has stripped citizenship from over 1,000 activists as punishment.

Hiring

Some employers examine job applicants' social media profiles as part of the hiring assessment. This issue raises many ethical questions that some consider an employer's right and others consider discrimination. Many Western-European countries have already implemented laws that restrict the regulation of social media in the workplace. States including Arkansas, California, Colorado, Illinois, Maryland, Michigan, Nevada, New Jersey, New Mexico, Utah, Washington, and Wisconsin have passed legislation that protects potential employees and current employees from employers that demand that they provide their usernames and passwords for any social media accounts. Use of social media by young people has caused significant problems for some applicants who are active on social media when they try to enter the job market. A survey of 17,000 young people in six countries in 2013 found that one in ten people aged 16 to 34 have been rejected for a job because of online comments they made on social media websites.

For potential employees, Social media services such as LinkedIn have shown to affect deception in resumes. While these services do not affect how often deception happens, they affect the types of deception that occur. LinkedIn resumes are less deceptive about prior work experience but more deceptive about interests and hobbies.

Science

The use of social media in science communications offers extensive opportunities for exchanging scientific information, ideas, opinions and publications. Scientists use social media to share their scientific knowledge and new findings on platforms such as ResearchGate, LinkedIn, Facebook, Twitter and Academia.edu. Among these the most common type of social media that scientists use is Twitter and blogs. It has been found that Twitter increased the scientific impact in the community. The use of social media has improved and elevated the interaction between scientists, reporters, and the general public. Over 495,000 opinions were shared on Twitter related to science in one year (between September 1, 2010, and August 31, 2011), which was an increase compared with past years. Science related blogs motivate public interest in learning, following, and discussing science. Blogs use textual depth and graphical videos that provide the reader with a dynamic way to interact with scientific information. Both Twitter and blogs can be written quickly and allow the reader to interact in real time with the authors. However, the popularity of social media platforms changes quickly and scientists need to keep pace with changes in social media. In terms of organized uses of scientific social media, one study in the context of climate change has shown that climate scientist and scientific institutions played a minimal role in online debate, while nongovernmental organizations played a larger role.

Academia

Signals from social media are used to assess academic publications, as well as for different scientific approaches. Another study found that most of the health science students acquiring academic materials from others through social media.

School admissions

It is not only an issue in the workplace but an issue in post-secondary school admissions as well. There have been situations where students have been forced to give up their social media passwords to school administrators. There are inadequate laws to protect a student's social media privacy, and organizations such as the ACLU are pushing for more privacy protection, as it is an invasion. They urge students who are pressured to give up their account information to tell the administrators to contact a parent or lawyer before they take the matter any further. Although they are students, they still have the right to keep their password-protected information private.

According to a 2007 journal, before social media admissions officials in the United States used SAT and other standardized test scores, extra-curricular activities, letters of recommendation, and high school report cards to determine whether to accept or deny an applicant. In the 2010s, while colleges and universities still used these traditional methods to evaluate applicants, these institutions were increasingly accessing applicants' social media profiles to learn about their character and activities. According to Kaplan, Inc, a corporation that provides higher education preparation, in 2012 27% of admissions officers used Google to learn more about an applicant, with 26% checking Facebook. Students whose social media pages include offensive jokes or photos, racist or homophobic comments, photos depicting the applicant engaging in illegal drug use or drunkenness, and so on, may be screened out from admission processes.

"One survey in July 2017, by the American Association of College Registrars and Admissions Officers, found that 11 percent of respondents said they had refused to admit an applicant based on social media content. This includes 8 percent of public institutions, where the First Amendment applies. The survey found that 30 percent of institutions acknowledged reviewing the personal social media accounts of applicants at least some of the time."

Court cases

Social media comments and images are being used in a range of court cases including employment law, child custody/child support and insurance disability claims. After an Apple employee criticized his employer on Facebook, he was fired. When the former employee sued Apple for unfair dismissal, the court, after seeing the man's Facebook posts, found in favor of Apple, as the man's social media comments breached Apple's policies. After a heterosexual couple broke up, the man posted "violent rap lyrics from a song that talked about fantasies of killing the rapper's ex-wife" and made threats against him. The court found him guilty and he was sentenced to jail. In a disability claims case, a woman who fell at work claimed that she was permanently injured; the employer used the social media posts of her travels and activities to counter her claims.

Courts do not always admit social media evidence, in part, because screenshots can be faked or tampered with. Judges are taking emojis into account to assess statements made on social media; in one Michigan case where a person alleged that another person had defamed them in an online comment, the judge disagreed, noting that there was an emoji after the comment which indicated that it was a joke. In a 2014 case in Ontario against a police officer regarding alleged assault of a protester during the G20 summit, the court rejected the Crown's application to use a digital photo of the protest that was anonymously posted online, because there was no metadata proving when the photo was taken and it could have been digitally altered.

Use by individuals

As a news source

As of March 2010, in the United States, 81% of users look online for news of the weather, first and foremost, with the percentage seeking national news at 73%, 52% for sports news, and 41% for entertainment or celebrity news. According to CNN, in 2010 75% of people got their news forwarded through e-mail or social media posts, whereas 37% of people shared a news item via Facebook or Twitter. Facebook and Twitter make news a more participatory experience than before as people share news articles and comment on other people's posts. Rainie and Wellman (2012) have argued that media making now has become a participation work, which changes communication systems. However, 27% of respondents worry about the accuracy of a story on a blog. From a 2019 poll, Pew Research Center found that Americans are wary about the ways that social media sites share news and certain content. This wariness of accuracy is on the rise as social media sites are increasingly exploited by aggregated new sources which stitch together multiple feeds to develop plausible correlations. Hemsley and colleagues (2018) refer to this phenomenon as "pseudo-knowledge" which develop false narratives and fake news that are supported through general analysis and ideology rather than facts. Social media as a news source was further questioned as spikes in evidence surround major news events such as was captured in the United States 2016 presidential election and again during the COVID-19 Pandemic.

As a social tool

Social media are used to fulfill perceived social needs such as socializing with friends and family as well as romance and flirting, but not all needs can be fulfilled by social media. For example, a 2003 article found that lonely individuals are more likely to use the Internet for emotional support than those who are not lonely. A nationally representative survey from Common Sense Media in 2018 found that 40% of American teens ages 13–17 thought that social media was "extremely" or "very" important for them to keep up with their friends on a day-to-basis. The same survey found that 33% of teens said social media was extremely or very important to have meaningful conversations with close friends, and 23% of teens said social media was extremely or very important to document and share highlights from their lives. Recently, a Gallup poll from May 2020 showed that 53% of adult social media users in the United States thought that social media was a very or moderately important way to keep in touch with those they cannot otherwise see in-person due to social distancing measures related to the COVID-19 pandemic.

Sherry Turkle explores this topic in her book Alone Together as she discusses how people confuse social media usage with authentic communication. She posits that people tend to act differently online and are less afraid to hurt each other's feelings. Additionally, some online behaviors can cause stress and anxiety, due to the permanence of online posts, the fear of being hacked, or of universities and employers exploring social media pages. Turkle also speculates that people are beginning to prefer texting to face-to-face communication, which can contribute to feelings of loneliness. Nationally representative surveys from 2019 have found this to be the case with teens in the United States and Mexico. Some researchers have also found that exchanges that involved direct communication and reciprocation of messages correlated with fewer feelings of loneliness. However, that same study showed that passively using social media without sending or receiving messages does not make people feel less lonely unless they were lonely to begin with.

The term social media "stalking" or "creeping" have been popularized over the years, and this refers to looking at the person's "timeline, status updates, tweets, and online bios" to find information about them and their activities. While social media creeping is common, it is considered to be poor form to admit to a new acquaintance or new date that you have looked through his or her social media posts, particularly older posts, as this will indicate that you were going through their old history. A sub-category of creeping is creeping ex-partners' social media posts after a breakup to investigate if there is a new partner or new dating; this can lead to preoccupation with the ex, rumination, and negative feelings, all of which postpone recovery and increase feelings of loss.

Catfishing has become more prevalent since the advent of social media. Relationships formed with catfish can lead to actions such as supporting them with money and catfish will typically make excuses as to why they cannot meet up or be viewed on camera.

As a self-presentational tool

The more time people spend on Facebook, the less satisfied they feel about their life. Self-presentation theory explains that people will consciously manage their self-image or identity related information in social contexts. In fact, a critical aspect of social networking sites is the time invested in customizing a personal profile, and encourage a sort of social currency based on likes, followers, and comments. Users also tend to segment their audiences based on the image they want to present, pseudonymity and use of multiple accounts across the same platform remain popular ways to negotiate platform expectations and segment audiences.

However, users may feel pressure to gain their peers' acceptance of their self-presentation. For example, in a 2016 peer-reviewed article by Trudy Hui Hui Chua and Leanne Chang, the authors found that teenage girls manipulate their self-presentation on social media to achieve a sense of beauty that is projected by their peers. These authors also discovered that teenage girls compare themselves to their peers on social media and present themselves in certain ways in an effort to earn regard and acceptance. However, when users do not feel like they reached this regard and acceptance, this can actually lead to problems with self-confidence and self-satisfaction. A nationally representative survey of American teens ages 13–17 by Common Sense Media found that 45% said getting "likes" on posts is at least somewhat important, and 26% at least somewhat agreed that they feel bad about themselves if nobody comments on or "likes" their photos. Some evidence suggests that perceived rejection may lead to feeling emotional pain, and some may partake in online retaliation such as online bullying. Conversely, according to research from UCLA, users' reward circuits in their brains are more active when their own photos are liked by more peers.

Literature suggests that social media can breed a negative feedback loop of viewing and uploading photos, self-comparison, feelings of disappointment when perceived social success is not achieved, and disordered body perception. In fact, one study shows that the microblogging platform, Pinterest is directly associated with disordered dieting behavior, indicating that for those who frequently look at exercise or dieting "pins" there is a greater chance that they will engage in extreme weight-loss and dieting behavior.

As a health behavior change and reinforcement tool

Social media can also function as a supportive system for adolescents' health, because by using social media, adolescents are able to mobilize around health issues that they themselves deem relevant. For example, in a clinical study among adolescent patients undergoing treatment for obesity, the participants' expressed that through social media, they could find personalized weight-loss content as well as social support among other adolescents with obesity. Whilst, social media can provide such information there are a considerable amount of uninformed and incorrect sources which promote unhealthy and dangerous methods of weight loss. As stated by the national eating disorder association there is a high correlation between weight loss content and disorderly eating among women who have been influenced by this negative content. Therefore, there is a need for people to evaluate and identify reliable health information, competencies commonly known as health literacy. This has led to efforts by governments and public health organizations to use social media to interact with users, to limited success.

Other social media, such as pro-anorexia sites, have been found in studies to cause significant risk of harm by reinforcing negative health-related behaviors through social networking, especially in adolescents. Social media affects the way a person views themself. The constant comparison to edited photos, of other individual's and their living situations, can cause many negative emotions. This can lead to not eating, and isolation. As more and more people continue to use social media for the wrong reasons, it increases the feeling of loneliness in adults.

During the coronavirus pandemic, the spread of information throughout social media regarding treatments against the virus has also influenced different health behaviors. For example, People who use more social media and belief more in conspiracy theory in social media during the COVID-19 pandemic had worse mental health and is predictive of their compliance to health behaviors such as hand-washing during the pandemic. Social media addiction can lead to an increase in aggravating mental problems. This is because social media can lead you to become withdrawn from other people since as humans we need companionship.

Effects on individual and collective memory

News media and television journalism have been a key feature in the shaping of American collective memory for much of the 20th century. Indeed, since the colonial era of the United States, news media has influenced collective memory and discourse about national development and trauma. In many ways, mainstream journalists have maintained an authoritative voice as the storytellers of the American past. Their documentary-style narratives, detailed exposés, and their positions in the present make them prime sources for public memory. Specifically, news media journalists have shaped collective memory on nearly every major national event—from the deaths of social and political figures to the progression of political hopefuls. Journalists provide elaborate descriptions of commemorative events in U.S. history and contemporary popular cultural sensations. Many Americans learn the significance of historical events and political issues through news media, as they are presented on popular news stations. However, journalistic influence has grown less important, whereas social networking sites such as Facebook, YouTube and Twitter, provide a constant supply of alternative news sources for users.

As social networking becomes more popular among older and younger generations, sites such as Facebook and YouTube gradually undermine the traditionally authoritative voices of news media. For example, American citizens contest media coverage of various social and political events as they see fit, inserting their voices into the narratives about America's past and present and shaping their own collective memories. An example of this is the public explosion of the Trayvon Martin shooting in Sanford, Florida. News media coverage of the incident was minimal until social media users made the story recognizable through their constant discussion of the case. Approximately one month after Martin's death, its online coverage by everyday Americans garnered national attention from mainstream media journalists, in turn exemplifying media activism.

Negative interpersonal interactions

Social media use sometimes involves negative interactions between users. Angry or emotional conversations can lead to real-world interactions, which can get users into dangerous situations. Some users have experienced threats of violence online and have feared these threats manifesting themselves offline. Related issues include cyberbullying, online harassment, and 'trolling'. According to cyberbullying statistics from the i-Safe Foundation, over half of adolescents and teens have been bullied online, and about the same number have engaged in cyberbullying. Both the bully and the victim are negatively affected, and the intensity, duration, and frequency of bullying are the three aspects that increase the negative effects on both of them.

Social comparison

One phenomenon that is commonly studied with social media is the issue of social comparison. People compare their own lives to the lives of their friends through their friends' posts. Because people are motivated to portray themselves in a way that is appropriate to the situation and serves their best interests, often the things posted online are the positive aspects of people's lives, making other people question why their own lives are not as exciting or fulfilling. One study in 2017 found that problematic social media use (i.e., feeling addicted to social media) was related to lower life satisfaction and self-esteem scores; the authors speculate that users may feel if their life is not exciting enough to put online it is not as good as their friends or family.

Studies have shown that self-comparison on social media can have dire effects on physical and mental health because they give us the ability to seek approval and compare ourselves. In one study, women reported that social media are the most influential sources of their body image satisfaction; while men reported them as the second most impacting factor.

Social media has allowed for people to be constantly surrounded and aware of celebrity images and influencers who hold strong online presence with the number of followers they have. This constant online presence has meant that people are far more aware of what others look like and as such body comparisons have become an issue, as people are far more aware of what the desired body type is. A study produced by King university showed that 87% of women and 65% of men compared themselves to images found on social media.

There are efforts to combat these negative effects, such as the use of the tag #instagramversusreality and #instagramversusreallife, that have been used to promote body positivity. In a related study, women aged 18–30 were shown posts using this hashtag that contained side-by-side images of women in the same clothes and setting, but one image was enhanced for Instagram, while the other was an unedited, "realistic" version. Women who participated in this experiment noted a decrease in body dissatisfaction.

Sleep disturbance

According to a study released in 2017 by researchers from the University of Pittsburgh, the link between sleep disturbance and the use of social media was clear. It concluded that blue light had a part to play—and how often they logged on, rather than time spent on social media sites, was a higher predictor of disturbed sleep, suggesting "an obsessive 'checking'". The strong relationship of social media use and sleep disturbance has significant clinical ramifications for young adults health and well-being. In a recent study, we have learned that people in the highest quartile for social media use per week report the most sleep disturbance. The median number of minutes of social media use per day is 61 minutes. Lastly, we have learned that females are more inclined to experience high levels of sleep disturbance than males. Many teenagers suffer from sleep deprivation as they spend long hours at night on their phones, and this, in turn, could affect grades as they will be tired and unfocused in school. In a study from 2011, it was found that time spent on Facebook has a strong negative relationship with overall GPA, but it was unclear if this was related to sleep disturbances. Since blue light has increasingly become an issue smartphone developers have added a night mode feature that does not cause as much strain to the eyes as a blue light would.

Emotional effects

One studied emotional effect of social media is 'Facebook depression', which is a type of depression that affects adolescents who spend too much of their free time engaging with social media sites. This may lead to problems such as reclusiveness which can negatively damage one's health by creating feelings of loneliness and low self-esteem among young people. Using a phone to look at social media before bed has become a popular trend among teenagers and this has led to a lack of sleep and inability to stay awake during school. Social media applications curate content that encourages users to keep scrolling to the point where they lose track of time. There are studies that show children's self-esteem is positively affected by positive comments on social media and negatively affected self-esteem by negative comments. This affects the way that people look at themselves on a "worthiness" scale. A 2017 study of almost 6,000 adolescent students showed that those who self-reported addiction-like symptoms of social media use were more likely to report low self-esteem and high levels of depressive symptoms. From the findings on a population-based study, there is about 37% increase in the likelihood of major depression among adolescents. In a different study conducted in 2007, those who used the most multiple social media platforms (7 to 11) had more than three times the risk of depression and anxiety than people who used the fewest (0 to 2).

A second emotional effect is social media burnout, which is defined by Bo Han as ambivalence, emotional exhaustion, and depersonalization. Ambivalence refers to a user's confusion about the benefits she can get from using a social media site. Emotional exhaustion refers to the stress a user has when using a social media site. Depersonalization refers to the emotional detachment from a social media site a user experiences. The three burnout factors can all negatively influence the user's social media continuance. This study provides an instrument to measure the burnout a user can experience when his or her social media "friends" are generating an overwhelming amount of useless information (e.g., "what I had for dinner", "where I am now").

A third emotional effect is the "fear of missing out" (FOMO), which is defined as the "pervasive apprehension that others might be having rewarding experiences from which one is absent." FOMO has been classified by some as a form of social anxiety. It is associated with checking updates on friends' activities on social media. Some speculate that checking updates on friends' activities on social media may be associated with negative influences on people's psychological health and well-being because it could contribute to negative mood and depressed feelings. Looking at friends' stories or posts of them attending parties, music festivals, vacations and other events on various social media applications can lead users to feel left out and upset because they are not having as much fun as others. This is a very common issue between young people using certain apps and it continues to affect their personal well-being.

On the other hand, social media can sometimes have a supportive effect on individuals who use it. Twitter has been used more by the medical community. While Twitter can facilitate academic discussion among health professionals and students, it can also provide a supportive community for these individuals by fostering a sense of community and allowing individuals to support each other through tweets, likes, and comments.

Social impacts

Disparity

The digital divide is a measure of disparity in the level of access to technology between households, socioeconomic levels or other demographic categories. People who are homeless, living in poverty, elderly people and those living in rural or remote communities may have little or no access to computers and the Internet; in contrast, middle class and upper-class people in urban areas have very high rates of computer and Internet access. Other models argue that within a modern information society, some individuals produce Internet content while others only consume it, which could be a result of disparities in the education system where only some teachers integrate technology into the classroom and teach critical thinking. While social media has differences among age groups, a 2010 study in the United States found no racial divide. Some zero-rating programs offer subsidized data access to certain websites on low-cost plans. Critics say that this is an anti-competitive program that undermines net neutrality and creates a "walled garden" for platforms like Facebook Zero. A 2015 study found that 65% of Nigerians, 61% of Indonesians, and 58% of Indians agree with the statement that "Facebook is the Internet" compared with only 5% in the US.

Eric Ehrmann contends that social media in the form of public diplomacy create a patina of inclusiveness that covers traditional economic interests that are structured to ensure that wealth is pumped up to the top of the economic pyramid, perpetuating the digital divide and post-Marxian class conflict. He also voices concern over the trend that finds social utilities operating in a quasi-libertarian global environment of oligopoly that requires users in economically challenged nations to spend high percentages of annual income to pay for devices and services to participate in the social media lifestyle. Neil Postman also contends that social media will increase an information disparity between "winners" – who are able to use the social media actively – and "losers" – who are not familiar with modern technologies or who do not have access to them. People with high social media skills may have better access to information about job opportunities, potential new friends, and social activities in their area, which may enable them to improve their standard of living and their quality of life.

Political polarization

According to the Pew Research Center and other research works, a majority of Americans at least occasionally receive news from social media. Because of algorithms on social media which filter and display news content which are likely to match their users' political preferences (known as a filter bubble), a potential impact of receiving news from social media includes an increase in political polarization due to selective exposure. Political polarization refers to when an individual's stance on a topic is more likely to be strictly defined by their identification with a specific political party or ideology than on other factors. Selective exposure occurs when an individual favors information that supports their beliefs and avoids information that conflicts with their beliefs. A study by Hayat and Samuel-Azran conducted during the 2016 U.S. presidential election observed an "echo chamber" effect of selective exposure among 27,811 Twitter users following the content of cable news shows. The Twitter users observed in the study were found to have little interaction with users and content whose beliefs were different from their own, possibly heightening polarization effects. Another 2016 study using U.S. elections, conducted by Evans and Clark, revealed gender differences in the political use of Twitter between candidates. Whilst politics is a male dominated arena, on social media the situation appears to be the opposite, with women discussing policy issues at a higher rate than their male counterparts. The study concluded that an increase in female candidates directly correlates to an increase in the amount of attention paid to policy issues, potentially heightening political polarization.

Efforts to combat selective exposure in social media may also cause an increase in political polarization. A study examining Twitter activity conducted by Bail et al. paid Democrat and Republican participants to follow Twitter handles whose content was different from their political beliefs (Republicans received liberal content and Democrats received conservative content) over a six-week period. At the end of the study, both Democrat and Republican participants were found to have increased political polarization in favor of their own parties, though only Republican participants had an increase that was statistically significant.

Though research has shown evidence that social media plays a role in increasing political polarization, it has also shown evidence that social media use leads to a persuasion of political beliefs. An online survey consisting of 1,024 U.S. participants was conducted by Diehl, Weeks, and Gil de Zuñiga, which found that individuals who use social media were more likely to have their political beliefs persuaded than those who did not. In particular, those using social media as a means to receive their news were the most likely to have their political beliefs changed. Diehl et al. found that the persuasion reported by participants was influenced by the exposure to diverse viewpoints they experienced, both in the content they saw as well as the political discussions they participated in. Similarly, a study by Hardy and colleagues conducted with 189 students from a Midwestern state university examined the persuasive effect of watching a political comedy video on Facebook. Hardy et al. found that after watching a Facebook video of the comedian/political commentator John Oliver performing a segment on his show, participants were likely to be persuaded to change their viewpoint on the topic they watched (either payday lending or the Ferguson protests) to one that was closer to the opinion expressed by Oliver. Furthermore, the persuasion experienced by the participants was found to be reduced if they viewed comments by Facebook users which contradicted the arguments made by Oliver.

Research has also shown that social media use may not have an effect on polarization at all. A U.S. national survey of 1,032 participants conducted by Lee et al. found that participants who used social media were more likely to be exposed to a diverse number of people and amount of opinion than those who did not, although using social media was not correlated with a change in political polarization for these participants.

In a study examining the potential polarizing effects of social media on the political views of its users, Mihailidis and Viotty suggest that a new way of engaging with social media must occur to avoid polarization. The authors note that media literacies (described as methods which give people skills to critique and create media) are important to using social media in a responsible and productive way, and state that these literacies must be changed further in order to have the most effectiveness. In order to decrease polarization and encourage cooperation among social media users, Mihailidis and Viotty suggest that media literacies must focus on teaching individuals how to connect with other people in a caring way, embrace differences, and understand the ways in which social media has a real impact on the political, social, and cultural issues of the society they are a part of.

Stereotyping

Recent research has demonstrated that social media, and media in general, have the power to increase the scope of stereotypes not only in children but people of all ages. Both cases of stereotyping of the youth and the elderly are prime examples of ageism. The presumed characteristics of the individual being stereotyped can have both negative and positive connotations but frequently carry an opposing viewpoint. For example, the youth on social media platforms are often depicted as lazy, immature individuals who oftentimes have no drive or passion for other activities. For example, during the COVID-19 pandemic, much of the youth were accused for the spread of the disease and were blamed for the continuous lockdowns across the world. These misrepresentations make it difficult for the youth to find new efforts and prove others wrong, especially when a large group of individuals believe that the stereotypes are highly accurate. Considering the youthful groups that are present on social media are frequently in a new stage of their lives and preparing to make life-changing decisions, it is essential that the stereotypes are diminished so that they do not feel invalidated. Further, stereotyping often occurs for the elderly as they are presumed to be a group of individuals who are unaware of the proper functions and slang usage on social media. These stereotypes often seek to exclude older generations from participating in trends or engaging them in other activities on digital platforms.

Effects on youth communication

Social media has allowed for mass cultural exchange and intercultural communication. As different cultures have different value systems, cultural themes, grammar, and world views, they also communicate differently. The emergence of social media platforms fused together different cultures and their communication methods, blending together various cultural thinking patterns and expression styles.

Social media has affected the way youth communicate, by introducing new forms of language. Abbreviations have been introduced to cut down on the time it takes to respond online. The commonly known "LOL" has become globally recognized as the abbreviation for "laugh out loud" thanks to social media and use by people of all ages particularly as people grow up.

Another trend that influences the way youth communicates is the use of hashtags. With the introduction of social media platforms such as Twitter, Facebook, and Instagram the hashtag was created to easily organize and search for information. Hashtags can be used when people want to advocate for a movement, store content or tweets from a movement for future use, and allow other social media users to contribute to a discussion about a certain movement by using existing hashtags. Using hashtags as a way to advocate for something online makes it easier and more accessible for more people to acknowledge it around the world. As hashtags such as #tbt ("throwback Thursday") become a part of online communication, it influenced the way in which youth share and communicate in their daily lives. Because of these changes in linguistics and communication etiquette, researchers of media semiotics have found that this has altered youth's communications habits and more.

Social media is a great way to learn about your community and the world around you, but as social media progressed younger audiences have lowered their ability to effectively communicate. Because of the digital nature, teens have stopped worrying about the consequences that social media has. They often don't think about what they are sending and take longer to figure out what to say. In return, during real-life settings, it's harder for them to carry on conversations. Social media also creates a toxic environment where people cyberbully each other, so in person they act the same way and don't worry about the consequences. This can not only affect themselves but people around them.

Social media has offered a new platform for peer pressure with both positive and negative communication. From Facebook comments to likes on Instagram, how the youth communicate, and what is socially acceptable is now heavily based on social media. Social media does make kids and young adults more susceptible to peer pressure. The American Academy of Pediatrics has also shown that bullying, the making of non-inclusive friend groups, and sexual experimentation have increased situations related to cyberbullying, issues with privacy, and the act of sending sexual images or messages to someone's mobile device. This includes issues of sexting and revenge porn among minors, and the resulting legal implications and issues, and resulting risk of trauma. On the other hand, social media also benefits the youth and how they communicate. Adolescents can learn basic social and technical skills that are essential in society. Through the use of social media, kids and young adults are able to strengthen relationships by keeping in touch with friends and family, making more friends, and participating in community engagement activities and services.

Criticism, debate and controversy

Criticisms of social media range from criticisms of the ease of use of specific platforms and their capabilities, disparity of information available, issues with trustworthiness and reliability of information presented, the impact of social media use on an individual's concentration, ownership of media content, and the meaning of interactions created by social media. Although some social media platforms, such as servers in the decentralized Fediverse, offer users the opportunity to cross-post between independently run servers using a standard protocol such as ActivityPub, the dominant social network platforms have been criticized for poor interoperability between platforms, which leads to the creation of information silos, viz. isolated pockets of data contained in one social media platform. However, it is also argued that social media has positive effects, such as allowing the democratization of the Internet while also allowing individuals to advertise themselves and form friendships. have noted that the term "social" cannot account for technological features of a platform alone, hence the level of sociability should be determined by the actual performances of its users. There has been a dramatic decrease in face-to-face interactions as more and more social media platforms have been introduced with the threat of cyber-bullying and online sexual predators including groomers being more prevalent. Social media may expose children to images of alcohol, tobacco, and sexual behaviors. In regards to cyber-bullying, it has been proven that individuals who have no experience with cyber-bullying often have a better well-being than individuals who have been bullied online.

Twitter is increasingly a target of heavy activity of marketers. Their actions focused on gaining massive numbers of followers, include use of advanced scripts and manipulation techniques that distort the prime idea of social media by abusing human trustfulness. British-American entrepreneur and author Andrew Keen criticized social media in his 2007 book The Cult of the Amateur, writing, "Out of this anarchy, it suddenly became clear that what was governing the infinite monkeys now inputting away on the Internet was the law of digital Darwinism, the survival of the loudest and most opinionated. Under these rules, the only way to intellectually prevail is by infinite filibustering." This is also relative to the issue "justice" in the social network. For example, the phenomenon "Human flesh search engine" in Asia raised the discussion of "private-law" brought by social network platform. Comparative media professor José van Dijck contends in her book The Culture of Connectivity (2013) that to understand the full weight of social media, their technological dimensions should be connected to the social and the cultural. She critically describes six social media platforms. One of her findings is the way Facebook had been successful in framing the term 'sharing' in such a way that third party use of user data is neglected in favor of intra-user connectedness. The fragmentation of modern society, in part due to social media, has been likened to a modern Tower of Babel.

Essena O'Neill attracted international coverage when she explicitly left social media.

Trustworthiness and reliability

There has been speculation that social media has become perceived as a trustworthy source of information by a large number of people. The continuous interpersonal connectivity on social media, for example, may lead to people regarding peer recommendations as indicators of the reliability of information sources. This trust can be exploited by marketers, who can utilize consumer-created content about brands and products to influence public perceptions.

Social media has been found to magnify misinformation, particularly in the immediate aftermath of a crisis event before much information is known about said event. These "information holes" in the wake of a major disaster become filled by speculation and false information on social media platforms, which are then shared by other users and sometimes by news organisations, amplifying the spread of said misinformation in a positive feedback loop. The trustworthiness of information found on social media platforms can be improved by fact-checking. Some social media has started to employ this.

Evgeny Morozov, a 2009–2010 Yahoo fellow at Georgetown University, contended that information uploaded to Twitter may have little relevance to the masses of people who do not use Twitter. In an article for the magazine Dissent titled "Iran: Downside to the 'Twitter Revolution'", Morozov wrote:

y its very design Twitter only adds to the noise: it's simply impossible to pack much context into its 140 characters. All other biases are present as well: in a country like Iran it's mostly pro-Western, technology-friendly and iPod-carrying young people who are the natural and most frequent users of Twitter. They are a tiny and, most important, extremely untypical segment of the Iranian population (the number of Twitter users in Iran — a country of more than seventy million people — was estimated at less than twenty thousand before the protests).

Professor Matthew Auer of Bates College casts doubt on the conventional wisdom that social media are open and participatory. He also speculates on the emergence of "anti-social media" used as "instruments of pure control".

Data harvesting and data mining

Social media 'mining' is a type of data mining, a technique of analyzing data to detect patterns. Social media mining is a process of representing, analyzing, and extracting actionable patterns from data collected from people's activities on social media. Google mines data in many ways including using an algorithm in Gmail to analyze information in emails. This use of the information will then affect the type of advertisements shown to the user when they use Gmail. Facebook has partnered with many data mining companies such as Datalogix and BlueKai to use customer information for targeted advertising. Massive amounts of data from social platforms allows scientists and machine learning researchers to extract insights and build product features.

Ethical questions of the extent to which a company should be able to utilize a user's information have been called "big data". Users tend to click through Terms of Use agreements when signing up on social media platforms, and they do not know how their information will be used by companies. This leads to questions of privacy and surveillance when user data is recorded. Some social media outlets have added capture time and Geotagging that helps provide information about the context of the data as well as making their data more accurate.

On April 10, 2018, in a hearing held in response to revelations of data harvesting by Cambridge Analytica, Mark Zuckerberg, the Facebook chief executive, faced questions from senators on a variety of issues, from privacy to the company's business model and the company's mishandling of data. This was Mr. Zuckerberg's first appearance before Congress, prompted by the revelation that Cambridge Analytica, a political consulting firm linked to the Trump campaign, harvested the data of an estimated 87 million Facebook users to psychologically profile voters during the 2016 election. Zuckerberg was pressed to account for how third-party partners could take data without users' knowledge. Lawmakers questioned him on the proliferation of so-called fake news on Facebook, Russian interference during the 2016 presidential election and censorship of conservative media.

Critique of activism

For The New Yorker writer Malcolm Gladwell, the role of social media, such as Twitter and Facebook, in revolutions and protests is overstated. On one hand, social media makes it easier for individuals, and in this case activists, to express themselves. On the other hand, it is harder for that expression to have an impact. Gladwell distinguishes between social media activism and high-risk activism, which brings real changes. Activism and especially high-risk activism involves strong-tie relationships, hierarchies, coordination, motivation, exposing oneself to high risks, making sacrifices. Gladwell discusses that social media are built around weak ties and he argues that "social networks are effective at increasing participation — by lessening the level of motivation that participation requires." According to him, "Facebook activism succeeds not by motivating people to make a real sacrifice, but by motivating them to do the things that people do when they are not motivated enough to make a real sacrifice."

Disputing Gladwell's theory, in the study "Perceptions of Social Media for Politics: Testing the Slacktivism Hypothesis", Kwak and colleagues (2018) conducted a survey which found that people who are politically expressive on social media are also more likely to participate in offline political activity.

Ownership of content

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Social media content is generated through social media interactions done by users through the site. There has always been a huge debate on the ownership of the content on social media platforms because it is generated by the users and hosted by the company. Added to this is the danger to the security of information, which can be leaked to third parties with economic interests in the platform, or parasites who comb the data for their own databases.

In order for social media platforms such as Facebook, Instagram, Twitter, and YouTube to publish your content online, they must be issued a license from the copyright owners. A license is a legitimate right that allows them to carry out a specific task. Simply put, you grant each platform permission to use your content in accordance with their terms and conditions even if you control the stuff you submit to social media. Although each of these licenses differs differently from the others, they all give the social media sites permission to utilize your copyrighted work however they see fit. Theoretically, they could make commercial use of it and even sell or sublicense their license to a third party for that party's use; however, because each license specifically states that it is "royalty free" you would never earn a share of the revenue.

After being acquired by Facebook in 2012, Instagram made headlines when it revealed it intended to use user posts in adverts without seeking permission from or paying their users. To determine if that is still the case, let's examine the Terms of Service. Instagram states: "Instagram does not claim ownership by any Content that you post on or through the Service. Instead, you herby grant to Instagram a non-exclusive, fully paid and royalty-free, transferable, sub-licensable, worldwide license to use the Content that you post on or through the Service, subject to the Service's Privacy Policy"Some of the service is supported by advertising revenue and may display advertisements and promotions, and you herby agree that Instagram may place such advertising and promotions on the Service or on, about, or in conjunction with your content. The manner, mode and extent of such advertising and promotions are subject to change without specific notice to you. Instagram expressly disclaims ownership of the images you share in the terms, yet it appears that this practice of using user content for their own purposes has not stopped. They have a similar provision in their conditions regarding offering a transferrable and non-exclusive license to use and display your work as Facebook and Twitter do. Instagram is clear that they may use or remix your content for marketing and advertising without your permission or prior notification.

Privacy

Privacy rights advocates warn users on social media about the collection of their personal data. Some information is captured without the user's knowledge or consent through electronic tracking and third-party applications. Data may also be collected for law enforcement and governmental purposes, by social media intelligence using data mining techniques. Data and information may also be collected for third party use. When information is shared on social media, that information is no longer private. There have been many cases in which young persons especially, share personal information, which can attract predators. It is very important to monitor what you share and to be aware of who you could potentially be sharing that information with. Teens especially share significantly more information on the internet now than they have in the past. Teens are much more likely to share their personal information, such as email address, phone number, and school names. Studies suggest that teens are not aware of what they are posting and how much of that information can be accessed by third parties.

There are arguments that "privacy is dead" and that with social media growing more and more, some heavy social media users appear to have become quite unconcerned with privacy. Others argue, however, that people are still very concerned about their privacy, but are being ignored by the companies running these social networks, who can sometimes make a profit off of sharing someone's personal information. There is also a disconnect between social media user's words and their actions. Studies suggest that surveys show that people want to keep their lives private, but their actions on social media suggest otherwise. Everyone leaves a trail when they use social media. Every time someone creates a new social media account, they provide personal information that can include their name, birthdate, geographic location, and personal interests. In addition, companies collect data on user behaviors. All of this data is stored and leveraged by companies to better target advertising to their users.

Another factor is ignorance of how accessible social media posts are. Some social media users who have been criticized for inappropriate comments stated that they did not realize that anyone outside their circle of friends would read their posts; in fact, on some social media sites, unless a user selects higher privacy settings, their content is shared with a wide audience.

According to a 2016 article diving into the topic of sharing privately and the effect social media has on expectations of privacy, "1.18 billion people will log into their Facebook accounts, 500 million tweets will be sent, and there will be 95 million photos and videos posted on Instagram" in a day. Much of the privacy concerns individuals face stem from their own posts on a form of a social network. Users have the choice to share voluntarily and have been ingrained into society as routine and normative. Social media are a snapshot of our lives; a community we have created on the behaviors of sharing, posting, liking, and communicating. Sharing has become a phenomenon which social media and networks have uprooted and introduced to the world. The idea of privacy is redundant; once something is posted, its accessibility remains constant even if we select who is potentially able to view it. People desire privacy in some shape or form, yet also contribute to social media, which makes it difficult to maintain privacy. Mills offers options for reform which include copyright and the application of the law of confidence; more radically, a change to the concept of privacy itself.

A 2014 Pew Research Center survey found that 91% of Americans "agree" or "strongly agree" that people have lost control over how personal information is collected and used by all kinds of entities. Some 80% of social media users said they were concerned about advertisers and businesses accessing the data they share on social media platforms, and 64% said the government should do more to regulate advertisers.

According to The Wall Street Journal published on February 17, 2019, According to UK law, Facebook did not protect certain aspects of the user data.

The US government announced banning TikTok and WeChat from the States over national security concerns. The shutdown was announced for September 20, 2020. Access to TikTok was extended until 12 November 2020, and a federal court ruling on October 30, 2020, has blocked further implementation of restrictions that would lead to TikTok's shutdown.

Additionally, in 2019 the Pentagon issued guidance to the US Army, Navy, Air Force, Marine Corps, Coast Guard and other government agencies that identified "the potential risk associated with using the TikTok app and directs appropriate action for employees to take in order to safeguard their personal information." As a result, the Army, Navy, Air Force, Marine Corps, Coast Guard, Transportation Security Administration, and Department of Homeland Security banned the installation and use of TikTok on government devices, including blacklisting it on intranet services.

Criticism of commercialization

The commercial development of social media has been criticized as the actions of consumers in these settings have become increasingly value-creating, for example when consumers contribute to the marketing and branding of specific products by posting positive reviews. As such, value-creating activities also increase the value of a specific product, which could, according to marketing professors Bernad Cova and Daniele Dalli (2009), lead to what they refer to as "double exploitation".

As social media usage has become increasingly widespread, social media has to a large extent come to be subjected to commercialization by marketing companies and advertising agencies. In 2014 Christofer Laurell, a digital marketing researcher, suggested that the social media landscape currently consists of three types of places because of this development: consumer-dominated places, professionally dominated places and places undergoing commercialization. As social media becomes commercialized, this process has been shown to create novel forms of value networks stretching between consumer and producer in which a combination of personal, private and commercial contents are created.

Debate over addiction

As one of the biggest preoccupations among adolescents is social media usage, in 2011 researchers began using the term "Facebook addiction disorder" (F.A.D.), a form of internet addiction disorder. FAD is characterized by compulsive use of the social networking site Facebook, which generally results in physical or psychological complications. The disorder, although not classified in the latest Diagnostic and Statistical Manual of Mental Disorders (DSM-5) or by the World Health Organization, has been the subject of several studies focusing on the negative effects of social media use on the psyche. One German study published in 2017 investigated a correlation between excessive use of the social networking site and narcissism; the results were published in the journal PLoS One. According to the findings: "FAD was significantly positively related to the personality trait narcissism and to negative mental health variables (depression, anxiety, and stress symptoms)".

In 2020, Netflix released The Social Dilemma, which raises concerns about the problematic effects of social media. In the documentary, mental health experts and former employees of social media companies explain how social media is designed to be addictive. One example that's shown is when an AI detects that someone has not visited Facebook for some time, it may choose different notifications that it predicts are most likely to cause them to re-visit the platform. This AI takes into account everything that each person has done on that platform.

The documentary also raises concerns about the correlation between child and teen suicides and suicide attempts and increasing social media usage in the United States, particularly usage on mobile.

Turning off social media notifications temporarily or long-term may help reduce problematic social media use. In certain cases and for some users, changes in their web browsing environments can be helpful in compensating for self-regulatory problems. For instance, a study involving 157 online learners on massive open online courses examined the impact of self-regulatory intervention on learners’ web browsing behavior. The results showed that, on average, learners spend half of their time online on YouTube and social media, and Less than 2% of visited websites account for nearly 80% of their time spent online. Further, the study found that modifying the learners' web environment, specifically by providing support in self-regulation, was associated with changes in behavior, including a reduction in time spent online, particularly on websites related to entertainment. This suggests there is a potential for interventions to improve self-regulatory skills, which may effectively help learners reduce excessive social media usage and manage their signs of social media misuse more effectively.

Debate over use in academic settings

Having social media in the classroom was a controversial topic in the 2010s. Many parents and educators have been fearful of the repercussions of having social media in the classroom. There are concerns that social media tools can be misused for cyberbullying or sharing inappropriate content. As result, cell phones have been banned from some classrooms, and some schools have blocked many popular social media websites. Many schools have realized that they need to loosen restrictions, teach digital citizenship skills, and even incorporate these tools into classrooms. Some schools permit students to use smartphones or tablet computers in class, as long as the students are using these devices for academic purposes, such as doing research. Using Facebook in class allows for the integration of multimodal content such as student-created photographs and video and URLs to other texts, in a platform that many students are already familiar with. Twitter can be used to enhance communication building and critical thinking and it provides students with an informal "back channel", and extend discussion outside of class time.

Censorship by governments

Social media often features in political struggles to control public perception and online activity. In some countries, Internet police or secret police monitor or control citizens' use of social media. For example, in 2013 some social media was banned in Turkey after the Taksim Gezi Park protests. Both Twitter and YouTube were temporarily suspended in the country by a court's decision. A new law, passed by Turkish Parliament, has granted immunity to Telecommunications Directorate (TİB) personnel. The TİB was also given the authority to block access to specific websites without the need for a court order. Yet TİB's 2014 blocking of Twitter was ruled by the constitutional court to violate free speech. More recently, in the 2014 Thai coup d'état, the public was explicitly instructed not to 'share' or 'like' dissenting views on social media or face prison. In July of that same year, in response to WikiLeaks' release of a secret suppression order made by the Victorian Supreme Court, media lawyers were quoted in the Australian media to the effect that "anyone who tweets a link to the WikiLeaks report, posts it on Facebook, or shares it in any way online could also face charges". On 27 July 2020, in Egypt, two women were sentenced to two years of imprisonment for posting TikTok videos, which the government claims are "violating family values".

Decentralization and open standards

Mastodon, GNU social, Diaspora, Friendica and other compatible software packages operate as a loose federation of mostly volunteer-operated servers, called the Fediverse, which connect with each other through the open source protocol ActivityPub. In early 2019, Mastodon successfully blocked the spread of violent right-wing extremism when the Twitter alternative Gab tried to associate with Mastodon, and their independent servers quickly contained its dissemination.

In December 2019, Twitter CEO Jack Dorsey made a similar suggestion, stating that efforts would be taken to achieve an "open and decentralized standard for social media". Rather than "deplatforming", such standards would allow a more scalable, and customizable approach to content moderation and censorship, and involve a number of companies, in the way that e-mail servers work.

Deplatforming

Deplatforming is a form of Internet censorship in which controversial speakers or speech are suspended, banned, or otherwise shut down by social media platforms and other service providers that normally provide a venue for free expression. These kinds of actions are similar to alternative dispute resolution. As early as 2015, platforms such as Reddit began to enforce selective bans based, for example, on terms of service that prohibit "hate speech". According to technology journalist Declan McCullagh, "Silicon Valley's efforts to pull the plug on dissenting opinions" have included, as of 2018, Twitter, Facebook, and YouTube "devising excuses to suspend ideologically disfavored accounts".

Most people see social media platforms as censoring objectionable political views.

Reproduction of class distinctions

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According to Danah Boyd (2011), the media plays a large role in shaping people's perceptions of specific social networking services. When looking at the site MySpace, after adults started to realize how popular the site was becoming with teens, news media became heavily concerned with teen participation and the potential dangers they faced using the site. As a result, teens avoided joining the site because of the associated risks (e.g. child predators and lack of control), and parents began to publicly denounce the site. Ultimately, the site was labeled as dangerous, and many were detracted from interacting with the site.

As Boyd also describes, when Facebook initially launched in 2004, it solely targeted college students and access was intentionally limited. Facebook started as a Harvard-only social networking service before expanding to all other Ivy League schools. It then made its way to other top universities and ultimately to a wider range of schools. Because of its origins, some saw Facebook as an "elite" social networking service. While it was very open and accepting to some, it seemed to outlaw and shun most others who did not fit that "elite" categorization. These narratives propagated by the media influenced the large movement of teenage users from one social networking service to another.

Use by extremist groups

According to LikeWar: The Weaponization of Social Media (2018) by P.W. Singer and Emerson T. Brooking, the use of effective social media marketing techniques is not only limited to celebrities, corporations, and governments, but also extremist groups to carry out political objectives based on extremist ideologies. The use of social media by ISIS and Al-Qaeda has been used primarily to influence operations in areas of operation and gain the attention of sympathizers of extremist ideologies. Social media platforms like YouTube, Twitter, Facebook, and various encrypted-messaging applications have been used to increase the recruiting of members into these extremist groups, both locally and internationally. Larger platforms like YouTube, Twitter, and various others have received backlash for allowing this type of content on their platform (see Use of social media by the Islamic State of Iraq and the Levant). The use of social media to further extremist objectives is not only limited to Islamic terrorism, but also extreme nationalist groups across the world, and more prominently, right-wing extremist groups based out of the United States.

2021 United States Capitol attack

As many of the traditional social media platforms banned hate speech (see Online hate speech), several platforms have become popular among right-wing extremists to carry out planning and communication of thoughts and organized events; these application became known as "Alt-tech". Platforms such as Telegram, Parler, and Gab were used during the 2021 storming of the US Capitol in Washington, D.C. The use of this social media was used to coordinate attacks on the Capitol. Several members within these groups shared tips on how to avoid law enforcement and what their plans were with regards to carrying out their objectives; some users called for killings of law enforcement and politicians.

Deceased users

Social media content, like most content on the web, will continue to persist unless the user deletes it. This brings up the inevitable question of what to do once a social media user dies, and no longer has access to their content. As it is a topic that is often left undiscussed, it is important to note that each social media platform, e.g., Twitter, Facebook, Instagram, LinkedIn, and Pinterest, has created its own guidelines for users who have died. In most cases on social media, the platforms require a next-of-kin to prove that the user is deceased, and then give them the option of closing the account or maintaining it in a 'legacy' status. Ultimately, social media users should make decisions about what happens to their social media accounts before they pass, and make sure their instructions are passed on to their next-of-kin.

See also

• Attention inequality – Term used to explain attention distribution across social media
• Augmented reality – View of the real world with computer-generated supplementary features
• Citizen media – Journalistic content produced by private citizens who are not professional journalists
• Coke Zero Facial Profiler – free Facebook appPages displaying wikidata descriptions as a fallback
• Connectivism – Theory of learning in a digital age
• Connectivity (media) – Connections forged through social media
• Culture jamming – Form of protest to subvert media culture
• Deplatforming – Administrative or political action to deny access to a platform to express opinions
• Psychological effects of Internet use
• Internet politics – Global system of connected computer networks
• Landing page – Type of web page
• List of online video platforms
• List of image-sharing websites
• List of social bookmarking websites
• List of social networking services
• Metcalfe's law – Value of a communication network is proportional the square of the number of pairwise connections
• MMORPG – Video game genrePages displaying short descriptions of redirect targets
• Networked learning – process of developing and maintaining connections with people and informationPages displaying wikidata descriptions as a fallback
• New media – Communication technologies
• Online presence management – Promoting a person or business online
• Online research community – market researchPages displaying wikidata descriptions as a fallback
• Participatory media – Communication media where the audience can play an active role
• Social media and the Arab Spring – The role of social media in early 2010s Middle East/North Africa protestsPages displaying short descriptions of redirect targets
• Social media bias – Bias within the mass media
• Social influence bias – Herd behaviours in online social media
• Social media and psychology – Interaction between usage of social media and psychology of social media users
• Digital detox – Process of not using digital devices
• Social media mining – Obtaining data from a social media user's content
• Social media optimization – Form of optimization
• Social media surgery – gathering at which volunteers with expertise in using web tools, chiefly social media, offer free advice in using such tools, to representatives of non-profit organisations, community groups etc.Pages displaying wikidata descriptions as a fallback
• The Disinformation Project – Misinformation research group in New Zealand

References

1. ^ Kietzmann, Jan H.; Hermkens, Kristopher (2011). "Social media? Get serious! Understanding the functional building blocks of social media". Business Horizons (Submitted manuscript). 54 (3): 241–251. doi:10.1016/j.bushor.2011.01.005. S2CID 51682132.
2. ^ Obar, Jonathan A.; Wildman, Steve (2015). "Social media definition and the governance challenge: An introduction to the special issue". Telecommunications Policy. 39 (9): 745–750. doi:10.2139/ssrn.2647377. SSRN 2647377.
3. Tuten, Tracy L.; Solomon, Michael R. (2018). Social media.marketing. Los Angeles: Sage. p. 4. ISBN 978-1-5264-2387-0.
4. ^ Aichner, T.; Grünfelder, M.; Maurer, O.; Jegeni, D. (2021). "Twenty-Five Years of Social Media: A Review of Social Media Applications and Definitions from 1994 to 2019". Cyberpsychology, Behavior, and Social Networking. 24 (4): 215–222. doi:10.1089/cyber.2020.0134. PMC 8064945. PMID 33847527.
5. ^ Kaplan, Andreas M.; Haenlein, Michael (2010). "Users of the world, unite! The challenges and opportunities of social media". Business Horizons. 53 (1). Bloomington, Indiana: Kelley School of Business: 61, 64–65, 67. doi:10.1016/j.bushor.2009.09.003. S2CID 16741539. Retrieved 2019-04-28. Social Media is a very active and fast-moving domain. What may be up-to-date today could have disappeared from the virtual landscape tomorrow. It is therefore crucial for firms to have a set of guidelines that can be applied to any form of Social Media .
6. ^ Boyd, Danah M.; Ellison, Nicole B. (2007). "Social Network Sites: Definition, History, and Scholarship". Journal of Computer-Mediated Communication. 13 (1): 210–30. doi:10.1111/j.1083-6101.2007.00393.x.
7. ^ Dijck, Jose van (2013-01-02). The Culture of Connectivity: A Critical History of Social Media. Oxford University Press. ISBN 978-0-19-997079-7.
8. Schivinski, Bruno; Brzozowska-Woś, Magdalena; Stansbury, Ellena; Satel, Jason; Montag, Christian; Pontes, Halley M. (2020). "Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use". Frontiers in Psychology. 11: 3576. doi:10.3389/fpsyg.2020.617140. ISSN 1664-1078. PMC 7772182. PMID 33391137.
9. ^ Schurgin O'Keeffe, Gwenn; Clarke-Pearson, Kathleen (2011). "The impact of social media on children, adolescents, and families". Pediatrics. 127 (4): 800–804. doi:10.1542/peds.2011-0054. PMID 21444588. S2CID 56801712.
10. Dennis, Amy (July 5, 2017). "5 Social Media Outlets Ruling the World". Nice Branding Agency. Retrieved October 10, 2021.
11. Agichtein, Eugene; Castillo, Carlos; Donato, Debora; Gionis, Aristides; Mishne, Gilad (2008). "Finding high-quality content in social media" (PDF). WISDOM – Proceedings of the 2008 International Conference on Web Search and Data Mining: 183–193.
12. Tao, Xiaohui; Huang, Wei; Mu, Xiangming; Xie, Haoran (18 November 2016). "Special issue on knowledge management of web social media". Web Intelligence. 14 (4): 273–274. doi:10.3233/WEB-160343 – via Lingnan scholars.
13. Pavlik, John; MacIntoch, Shawn (2015). Converging Media 4th Edition. New York, NY: Oxford University Press. p. 189. ISBN 978-0-19-934230-3.
14. Stacy, Christopher C. (September 7, 1982). "Getting Started Computing at the AI Lab" (PDF). MIT Artificial Intelligence Laboratory. Archived (PDF) from the original on 2019-03-23.
15. Cerf, Vinton; Dalal, Yogen; Sunshine, Carl (1974). "Specification of Internet Transmission Control Program". RFC: 675. doi:10.17487/RFC0675. Retrieved 2022-08-29. {{cite journal}}: Cite journal requires |journal= (help)
16. Edwards, Benj (November 4, 2016). "The Lost Civilization of Dial-Up Bulletin Board Systems". The Atlantic. The Atlantic. Retrieved 2018-02-05.
17. ^ "CMOS Sensors Enable Phone Cameras, HD Video". NASA Spinoff. NASA. 2017. Retrieved 6 November 2019.
18. ^ Fossum, Eric R. (12 July 1993). Blouke, Morley M. (ed.). "Active pixel sensors: are CCDs dinosaurs?". SPIE Proceedings Vol. 1900: Charge-Coupled Devices and Solid State Optical Sensors III. 1900. International Society for Optics and Photonics: 2–14. Bibcode:1993SPIE.1900....2F. CiteSeerX 10.1.1.408.6558. doi:10.1117/12.148585. S2CID 10556755.
19. Matsumoto, Kazuya; et al. (1985). "A new MOS phototransistor operating in a non-destructive readout mode". Japanese Journal of Applied Physics. 24 (5A): L323. Bibcode:1985JaJAP..24L.323M. doi:10.1143/JJAP.24.L323. S2CID 108450116.
20. Fossum, Eric R.; Hondongwa, D. B. (2014). "A Review of the Pinned Photodiode for CCD and CMOS Image Sensors". IEEE Journal of the Electron Devices Society. 2 (3): 33–43. doi:10.1109/JEDS.2014.2306412.
21. ^ Ngak, Chenda (2011-07-06). "Then and now: a history of social networking sites". CBS news. Retrieved 2018-01-26.
22. Kirkpatrick, David (2011). The Facebook effect: the real inside story of Mark Zuckerberg and the world's fastest-growing company. London: Virgin.
23. "A Brief History of Social Media & timeline - 1973 to 2021". Dewzilla. 2020-02-11. Archived from the original on 2020-10-23. Retrieved 2022-06-01.
24. "Social media". Encyclopædia Britannica. Retrieved 2022-06-14.
25. Nielsen Company. "Social Networks Blogs Now Account for One in Every Four and a Half Minutes Online". Nielsen. Archived from the original on 2022-05-06. Retrieved 2015-04-30.
26. Sterling, Greg (April 4, 2016). "Nearly 80 percent of social media time now spent on mobile devices". Marketing Land. Retrieved 2022-08-29.
27. "Global Social Media Statistics". DataReportal – Global Digital Insights. Retrieved 2023-02-18.
28. Schejter, A.M.; Tirosh, N. (2015). ""Seek the meek, seek the just": Social media and social justice". Telecommunications Policy. 39 (9): 796–803. doi:10.1016/j.telpol.2015.08.002.
29. "social media". Merriam-Webster. Retrieved March 2, 2022.
30. Aichner, Thomas; Jacob, Frank H. (March 2015). "Measuring the Degree of Corporate Social Media Use". International Journal of Market Research. 57 (2): 257–275. doi:10.2501/IJMR-2015-018. S2CID 166531788.
31. ^ Kaplan, Andreas M. (March–April 2012). "If you love something, let it go mobile: Mobile marketing and mobile social media 4x4". Business Horizons. 55 (2): 129–139. doi:10.1016/j.bushor.2011.10.009.
32. Nikolinakou, Angeliki; Phua, Joe (January 2020). ""Do human values matter for promoting brands on social media? How social media users' values influence valuable brand‐related activities such as sharing, content creation, and reviews"". Journal of Consumer Behaviour. 19 (1): 13–23. doi:10.1002/cb.1790. S2CID 210535859. Retrieved November 14, 2021.
33. Ghosh, Rumi (June 2011). "Entropy-based Classification of 'Retweeting' Activity on Twitter". arXiv:1106.0346 .
34. "bots". Dictionary.com. Retrieved 2017-05-11.
35. "Size of the chatbot market worldwide, in 2015 and 2024 (in million U.S. dollars)". Statista. Archived from the original on 2017-10-09. Retrieved 2017-05-11.
36. Martinez Rodrigo, Salto; Jacques-García, Fausto Abraham (2012). "Development and Implementation of a Chat Bot in a Social Network". Information Technology: New Generations: 751–755. doi:10.1109/ITNG.2012.147. ISBN 978-1-4673-0798-7. S2CID 207008003.
37. Castronovo, Cristina; Huang, Lei (2012). "Social Media in Alternative Marketing Communication Model". Journal of Marketing Development & Competitivness. 6: 117–136.
38. Baym, Nancy K. (October 7, 2013). "Data Not Seen: The uses and shortcomings of social media metrics". First Monday. 18 (10). doi:10.5210/fm.v18i10.4873.{{cite journal}}: CS1 maint: unflagged free DOI (link)
39. "Terms of Use". help.instagram.com. Retrieved 2017-06-26.
40. ^ Chu, Z.; Gianvecchio, S.; Wang, H.; Jajodia, S. (2012). "Detecting automation of Twitter accounts: Are you a human, bot, or cyborg?". IEEE Transactions on Dependable and Secure Computing. 9 (6): 811–824. doi:10.1109/tdsc.2012.75. S2CID 351844.
41. Stone-Gross, B.; Holz, T.; Stringhini, G.; Vigna, G. (2011). "The Underground Economy of Spam: A Botmaster's Perspective of Coordinating Large-Scale Spam Campaigns" (PDF). LEET. 11: 4.
42. House, Arthur. "The real cyborgs - in-depth feature about people merging with machines". Telegraph.co.uk. Retrieved March 2, 2022 – via s.telegraph.co.uk.
43. Schreckinger, Ben (2016-09-30). "Inside Trump's 'cyborg' Twitter army". Politico. Retrieved 2022-08-29.
44. Pilon, Annie (2021-03-11). "50 Social Media Management Tools for your Business". Small Business Trends. Retrieved 2021-03-26.
45. "USPTO search on published patent applications mentioning "social media"". Appft.uspto.gov. Retrieved 2012-04-24.
46. "USPTO search on issued patents mentioning "social media"". Patft.uspto.gov. Retrieved 2012-04-24.
47. Cashmore, Pete (May 25, 2007). "Facebook Video Launches: YouTube Beware!". Mashable. Retrieved June 15, 2017.
48. "Introducing Video on Instagram". Instagram. 2013-06-20.
49. Livesay, Kari (2022-04-13). "Instagram Video Length Guide (An Easy Cheat Sheet)". Animoto. Retrieved 2022-08-29.
50. Alexander, Julia (29 November 2018). "YouTube is rolling out its Instagram-like Stories feature to more creators". The Verge.
51. Parr, Ben (Aug 10, 2011). "Twitter Rolls Out Photo Sharing to All Users". Mashable.
52. Kamdar, Jinen (2015-01-27). "Now on Twitter: group Direct Messages and mobile video camera". Twitter.
53. Rishel, Jeremy (2016-06-21). "New ways to tap into video on Twitter". Twitter. Retrieved 2022-08-29.
54. Hutchinson, Andrew (2017-03-15). "Twitter Updates Media Studio, Expands Access to All Users". Social Media Today. Retrieved 2022-08-29.
55. "r/announcements - Image Hosting on Reddit". reddit. 2016-06-21. Retrieved 2022-08-29.
56. "r/changelog - [Reddit change] Introducing video uploading beta". reddit. 2017-06-26. Retrieved 2022-08-29.
57. "Introducing Reddit Image Galleries". Upvoted. 2020-07-15. Archived from the original on 2020-07-16.
58. Liao, Shannon (29 May 2018). "Imgur adds 30-second video uploads so your GIFs can have soundtracks". The Verge.
59. "How to Upload Video". Imgur. Archived from the original on 2019-06-13.
60. TeamYouTube (December 11, 2018). "New on the Community tab: Post Playlists to engage with your audience! If you have Community posts enabled on your channel, learn more about Playlist posts here → https://t.co/mE5tl7nR6E https://t.co/BR0ijr0xEq" (Tweet). Archived from the original on January 5, 2021. Retrieved November 2, 2021 – via Twitter.
61. "Number of global social network users 2017-2025| Statista". Statista. Archived from the original on 2021-08-18. Retrieved 2022-08-29.
62. "Most popular social networks worldwide as of January 2022, ranked by number of monthly active users (in millions)". Statista. Archived from the original on 2022-01-29.
63. Correa, Teresa; Hinsley, Amber W. (October 2009). "Who Interacts on the Web?: The Intersection of Users' Personality and Social Media Use". Computers in Human Behavior. 26 (2): 247–253. doi:10.1016/j.chb.2009.09.003.
64. Vogel, Erin A.; Rose, Jason P.; Okdie, Bradley M.; Eckles, Katheryn; Franz, Brittany (2015). "Who compares and despairs? The effect of social comparison orientation on social media use and its outcomes". Personality and Individual Differences. 86: 249–56. doi:10.1016/j.paid.2015.06.026.
65. Jargon, Julie (June 19, 2019). "How 13 Became the Internet's Age of Adulthood". The Wall Street Journal.
66. Rideout, Vicky (2017-10-19). "The Common Sense census: Media use by kids age zero to eight, 2017". Common Sense Media. Retrieved 2022-08-29.
67. Rideout, Vicky; Robb, Michael B. (2019). "The Common Sense census: Media use by tweens and teens, 2019". Common Sense Media.
68. Saud, Muhammad; Mashud, Musta'in; Ida, Rachmah (2020-09-15). "Usage of social media during the pandemic: Seeking support and awareness about COVID-19 through social media platforms". Journal of Public Affairs: e02417. doi:10.1002/pa.2417. S2CID 224943667.
69. ^ Patchin, Justin W.; Hinduja, Sameer (2020). "Tween cyberbullying in 2020". Cartoon Network. Archived from the original on 2020-10-20.
70. ^ Robb, Michael B. (2020). "Teens and the news: The influencers, celebrities, and platforms they say matter most, 2020". Common Sense Media. Retrieved 2022-08-29.
71. Saud, Muhammad; Mashud, Musta'in; Ida, Rachmah (2020). "Usage of social media during the pandemic: Seeking support and awareness about COVID-19 through social media platforms". Journal of Public Affairs. 20 (4): e2417. doi:10.1002/pa.2417. ISSN 1479-1854. S2CID 224943667.
72. Wong, Adrian; Ho, Serene; Olusanya, Olusegun; Antonini, Marta Velia; Lyness, David (2021-08-01). "The use of social media and online communications in times of pandemic COVID-19". Journal of the Intensive Care Society. 22 (3): 255–260. doi:10.1177/1751143720966280. ISSN 1751-1437. PMC 8373288. PMID 34422109.
73. "Call for Action: Managing the Infodemic". World Health Organization. 2020-12-11. Retrieved 2021-12-31.
74. ^ Kudchadkar, Sapna R.; Carroll, Christopher L. (August 2020). "Using Social Media for Rapid Information Dissemination in a Pandemic: #PedsICU and Coronavirus Disease 2019". Pediatric Critical Care Medicine. 21 (8): e538–e546. doi:10.1097/PCC.0000000000002474. ISSN 1529-7535. PMC 7255404. PMID 32459792.
75. Singh, Shweta; Dixit, Ayushi; Joshi, Gunjan (December 2020). "Is compulsive social media use amid COVID-19 pandemic addictive behavior or coping mechanism?". Asian Journal of Psychiatry. 54: 102290. doi:10.1016/j.ajp.2020.102290. ISSN 1876-2018. PMC 7338858. PMID 32659658.
76. Khan, Gohar F. (2017). Social Media for Government: A Practical Guide to Understanding, Implementing, and Managing Social Media Tools in the Public Sphere. SpringerBriefs in Political Science. Singapore: Springer. ISBN 978-981-10-2942-4. Retrieved 2019-04-28.
77. Gesser-Edelsburg, Anat; Shir-Raz, Yaffa (2017). Risk Communication and Infectious Diseases in an Age of Digital Media. Routledge Studies in Public Health. ISBN 978-0-367-22405-9. Retrieved 2020-11-22.
78. Brunty, Joshua; Helenek, Katherine (2014). Social Media Investigation for Law Enforcement. Taylor & Francis. ISBN 978-1-317-52165-5.
79. Colls, Caroline Sturdy (2016). Morewitz, Stephen J. (ed.). Handbook of Missing Persons. Springer International. pp. 97, 102, 164. {{cite book}}: Missing |editor1= (help)
80. Perez, Kaitlyn (June 30, 2017). "Social Media Has Become a Critical Part of Law Enforcement". National Police Foundation. Archived from the original on 2019-04-24.
81. ^ Schneider, Christopher J. (2015). "Police "Image Work" in an Era of Social Media" YouTube and 2007 Montebello Summit Protests". Social Media, Politics and the StateProtests, Revolutions, Riots, Crime and Policing in the Age of Facebook, Twitter and YouTube. Routledge Research in Information Technology and Society. Routledge. pp. 229–30. ISBN 9781317655480.
82. Funk, McKenzie (2019-10-02). "How ICE Picks Its Targets in the Surveillance Age". The New York Times. ISSN 0362-4331. Archived from the original on 2019-10-02. Retrieved 2019-10-22.
83. ^ Patel, Faiza; Levinson-Waldman, Rachel; Koreh, Raya; DenUyl, Sophia (2020-03-11). Social Media Monitoring (Report). Brennan Center for Justice. pp. 255–57. Retrieved 2022-08-29.
84. Michaelson, Ruth; Safi, Michael (2021-01-29). "Sugar-coated propaganda? Middle East taps into power of influencers". The Guardian. Retrieved 29 January 2020.
85. Michaelson, Ruth (17 April 2021). "'In this world, social media is everything': how Dubai became the planet's influencer capital". The Guardian. Retrieved 17 April 2021.
86. Lugmayr, Artur (2013). "Predicting the Future of Investor Sentiment with Social Media in Stock Exchange Investments: A Basic Framework for the DAX Performance Index". Handbook of Social Media Management. Springer Berlin Heidelberg: 565–589. doi:10.1007/978-3-642-28897-5_33. ISBN 978-3-642-28896-8.
87. Spillane, James (3 January 2013). "5 Indirect Ways Building Social Authority Improves Your Brand". Business 2 Community. Retrieved 2019-05-03.
88. Rutledge, Pamela. "Research Survey". The Media Psychology Blog. Archived from the original on 2012-05-04. Retrieved 2012-04-24. One of the tenets of social media is that you can't control your message, you can only participate in the conversation.
89. Meske, Christian; Stieglitz, Stefan (2014-01-15). "Reflektion der wissenschaftlichen Nutzenbetrachtung von Social Software / Reflecting the Scientific Discussion of Benefits Induced by Social Software". I-com. 13 (3). doi:10.1515/icom.2014.0015. ISSN 2196-6826. S2CID 168104889.
90. Wang, Wei; Liang, Qiaozhuan; Mahto, Raj V.; Deng, Wei; Zhang, Stephen X. (2020). "Entrepreneurial entry: The role of social media". Technological Forecasting and Social Change. 161: 120337. doi:10.1016/j.techfore.2020.120337. PMC 7522013. PMID 33012851.
91. "Most famous social network sites worldwide as of January 2018, ranked by number of active users (in millions)". Statista. Archived from the original on 2018-02-13. Retrieved 2018-03-07.
92. "Facebook: number of monthly active users worldwide 2008-2021". Statista. Archived from the original on 2021-12-29. Retrieved 2021-12-31.
93. "Countries with the most Twitter users 2021". Statista. 2021-11-19. Archived from the original on 2021-12-31. Retrieved 2021-12-31.
94. Stephen, Andrew T.; Galak, Jeff (2012-10-01). "The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace". Journal of Marketing Research. 49 (5): 624–639. doi:10.1509/jmr.09.0401. ISSN 0022-2437. S2CID 167535488.
95. Brenner, Michael (2022-04-07). "What Are Paid, Owned, and Earned Media, and Which One Drives More ROI?". Marketing Insider Group. Retrieved 2022-09-22.
96. Chaffey, Dave; Ellis-Chadwick, Fiona (2012). Digital Marketing (5th ed.). Pearson. pp. 30–31. ISBN 978-0-273-74610-2.
97. Sorescu, Alina; Frambach, Ruud T.; Singh, Jagdip; Rangaswamy, Arvind; Bridges, Cheryl (July 2011). "Innovations in Retail Business Models". Journal of Retailing. 87: S3–S16. doi:10.1016/j.jretai.2011.04.005. S2CID 27878657.
98. Shu-Chuan, Chu (2011). "Viral Advertising in Social Media Participation in Facebook Groups and Responses among College-Aged Users". Journal of Interactive Advertising. 12 (1): 32. doi:10.1080/15252019.2011.10722189. S2CID 4336043. Retrieved 2018-03-07.
99. Hardy, Kevin (June 18, 2018). "Wendy's Roasts its Way to Social Media Stardom". qsrmagazine.com. Retrieved 2018-06-18.
100. "Explore the Best Wendysmascot Art". DeviantArt. Retrieved 2021-12-31.
101. Linnea, Laestadius; Wahl, Megan; Pokhrel, Pallav; Cho, Young (2019). "From Apple to Werewolf: A content analysis of marketing for e-liquids on Instagram". Addictive Behaviors. 91: 119–127. doi:10.1016/j.addbeh.2018.09.008. PMC 6358470. PMID 30253933.
102. Newman, Daniel (2015-06-23). "Love It Or Hate It: Influencer Marketing Works". Forbes. Retrieved 2017-11-11.
103. Dunkley, Lydia (7 February 2017). "Reaching The Zolom's Children: Harnessing the Power of Digital Influencers in Film Publicity". Journal of Promotional Communications. 5 (1). Retrieved 2017-11-11.
104. "FTC Releases Advertising Disclosures Guidance for Online Influencers". Federal Trade Commission. 2019-11-05. Retrieved 2021-05-14.
105. "influencer". dictionary.cambridge.org. Retrieved 2019-01-25.
106. Wang, Xia; Yu, Chunling; Wei, Yujie (November 2012). "Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework" (PDF). Journal of Interactive Marketing. 26 (4): 198–208. doi:10.1016/j.intmar.2011.11.004. S2CID 167862356. Archived (PDF) from the original on 2017-12-15.
107. Rainie, Lee; Wellman, Barry (27 April 2012). "The Internet Revolution". Networked: The New Social Operating System. Cambridge, Massachusetts: MIT Press (published 2012). p. 71. ISBN 978-0-262-30040-7. Retrieved 10 January 2021. Witt soon became an active content creator with no intermediary needed. He started blogging in 2003 .
108. Rosen, Jay. "The People Formally Known as the Audience". PressThink. Retrieved 2015-01-27. This post came out of reflections after BloggerCon IV (June 23–24, 'empowering the users') .
109. Philip Pond and Jeff Lewis. 2019. "Riots and Twitter: Connective Politics, Social Media, and Framing Discourses in the Digital Space". Information, Communication & Society. V22, N2, 213-231
110. ^ Newman, N.; Levy, D. (2013). "Reuters Institute Digital News Report 2013" (PDF). reutersinstitute.politics.ox.ac.uk. Archived from the original (PDF) on 2013-12-07.
111. Howard, Philip N.; Busch, Laura; Sheets, Penelope (2010-02-05). "Comparing Digital Divides: Internet Access and Social Inequality in Canada and the United States". Canadian Journal of Communication. 35 (1): 109–128. doi:10.22230/cjc.2010v35n1a2192. ISSN 1499-6642.
112. Leyva, Rodolfo (August 2017). "Exploring UK Millennials' Social Media Consumption Patterns and Participation in Elections, Activism, and "Slacktivism"". Social Science Computer Review. 35 (4): 462–479. doi:10.1177/0894439316655738. S2CID 62913580.
113. Anderson, Nate; Technica, Ars (January 14, 2011). "Tweeting Tyrants Out of Tunisia: Global Internet at Its Best". Wired.
114. Kirkpatrick, David D. (February 9, 2011). "Wired and Shrewd, Young Egyptians Guide Revolt". The New York Times.
115. Howard, Philip N. (February 23, 2011). "The Arab Uprising's Cascading Effects". Miller-mccune.com. Archived from the original on 2011-02-27. Retrieved 2012-04-24.
116. Rainie & Wellman 2012, p. 207:Social media - Facebook, Twitter, and email - plus mobile phones played a major part in the 'Arab Spring' of protests and rebellions against authoritarian regimes in the Middle East and North Africa throughout 2011. The activity of networked individuals in Tunisia, Egypt, and other states was a prime example of how online content creation and community building, in tandem with offline gatherings and backstage maneuvering, can aid mass mobilizations.
117. Gladwell, Malcolm (March 1, 2011). "Malcolm Gladwell and Clay Shirky on Social Media and Revolution, Foreign Affairs March/April 2011". Foreign Affairs (March/April 2011). Archived from the original on 2011-02-01. Retrieved 2012-04-24.
118. ^ Dounoucos, Victoria A.; Hillygus, D. Sunshine; Carlson, Caroline (2019). "The Message and the Medium: An Experimental Evaluation of the Effects of Twitter Commentary on Campaign Messages". Journal of Information Technology and Politics. 16 (1): 66–76. doi:10.1080/19331681.2019.1572566. S2CID 150478043.
119. Richardson, Jr., Glenn W. (2016-11-21). Social Media and Politics: A New Way to Participate in the Political Process. Vol. 1. Praeger.
120. Barisione, Mauro; Michailidou, Asimina (2017). "Do We Need to Rethink EU Politics in the Social Media Era? An Introduction to the Volume". Social Media and European Politics. Palgrave Studies in European Political Sociology. Palgrave: 1–23. doi:10.1057/978-1-137-59890-5_1. ISBN 978-1-137-59889-9.
121. Shirky, Clay (2011). "Technology, the Public Sphere, and Political Change". Foreign Affairs. 90 (1). Retrieved 2018-08-04.
122. P.W. Singer and Emerson T. Brooking. Like War: The Weaponization of Social Media. Houghton Mifflin, NY, 2018.
123. Ajbaili, Mustapha (June 24, 2014). "How ISIS conquered social media". Al Arabiya News. Retrieved 2022-08-29.
124. Proofpoint, Inc. (January 17, 2018). "Q4 2016 & Year in Review: Threat Summary" (PDF). Proofpoint. Retrieved 2022-08-29.
125. "How Social Media Is Shaping Political Campaigns". Knowledge at Wharton. 2020-08-17. Retrieved 2021-04-15.
126. Ignatius, David. "Trump's tirades about Hillary Clinton's emails are catching on — in Saudi Arabia". Washington Post. 2020-10-13. Retrieved 2022-08-29.
127. Pragmatic Grizzly (October 14, 2020). "Twitter trend in #SaudiArabia saw thousands of tweets on #HillaryEmails from supporters of Crown Prince MBS. Strange that Riyadh's social marketing firm, SMAAT is involved in another such campaign. Didn't see this coming from any country other than Russia. https://t.co/FASoLPXN1r" (Tweet). Archived from the original on May 14, 2022. Retrieved December 8, 2022 – via Twitter.
128. Paul, Katie (2019-12-20). "Twitter suspends accounts linked to Saudi spying case". Reuters. Retrieved 20 October 2019.
129. Minoff, Aaron (13 May 2021). "Bahrain's Social Media Problem: The Government's Online to Real Life Attack on Human Rights". New York Center For Foreign Policy Affairs. Retrieved 13 May 2021.
130. Burke, Elaine (May 30, 2013). "1 in 10 young people losing out on jobs because of pics and comments on social media". Silicon Republic. Retrieved 2022-08-29.
131. Guillory, J.; Hancock, J. T. (2012). "The effect of Linkedin on deception in resumes". Cyberpsychology, Behavior, and Social Networking. 15 (3): 135–140. doi:10.1089/cyber.2011.0389. PMID 22335544.
132. "Social media for scientists". Nature Cell Biology. 20 (12): 1329. 2018. doi:10.1038/s41556-018-0253-6. PMID 30482942. S2CID 53744344.
133. Liang, Xuan; Su, Leona Yi-Fan; Yeo, Sara K.; Scheufele, Dietram A.; Brossard, Dominique; Xenos, Michael; Nealey, Paul; Corley, Elizabeth A. (2014-09-12). "Building Buzz: (Scientists) Communicating Science in New Media Environments". Journalism & Mass Communication Quarterly. 91 (4): 772–791. doi:10.1177/1077699014550092. S2CID 56369654.
134. National Academies Of Sciences, Engineering; Division of Behavioral Social Sciences Education; Committee on the Science of Science Communication: A Research Agenda (2017). Communicating Science Effectively. doi:10.17226/23674. ISBN 978-0-309-45102-4. PMID 28406600.
135. Schäfer, Mike S. (2012-09-13). "Online communication on climate change and climate politics: a literature review". WIREs Climate Change. 3 (6): 527–543. doi:10.1002/wcc.191. S2CID 53320112.
136. Haustein, Stefanie (2016). "Grand challenges in altmetrics: Heterogeneity, data quality and dependencies". Scientometrics. 108: 413–423. arXiv:1603.04939. Bibcode:2016arXiv160304939H. doi:10.1007/s11192-016-1910-9. S2CID 2169363.
137. Jha, Rajesh Kumar; Shah, Dev Kumar; Basnet, Sangharshila; Paudel, Keshab Raj; Sah, Phoolgen; Sah, Ajit Kumar; Adhikari, Kishor (2016). "Facebook use and its effects on the life of health science students in a private medical college of Nepal". BMC Research Notes. 9: 378. doi:10.1186/s13104-016-2186-0. PMC 4970301. PMID 27485717.{{cite journal}}: CS1 maint: unflagged free DOI (link)
138. "ACLU-MN Files Lawsuit Against Minnewaska Area Schools". ACLU Minnesota. 2012-03-06. Retrieved 2022-08-29.
139. "Employers, Schools, and Social Networking Privacy". American Civil Liberties Union. Retrieved 2016-11-30.
140. Leenheer, Jorna; van Heerde, Harald J.; Bijmolt, Tammo H. A.; Smidts, Ale (March 1, 2007). "Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members". International Journal of Research in Marketing. 24 (1): 31–47. CiteSeerX 10.1.1.632.183. doi:10.1016/j.ijresmar.2006.10.005. S2CID 168005053.
141. "Kaplan Test Prep Survey: More College Admissions Officers Checking Applicants' Digital Trails, But Most Students Unconcerned". Kaplan Test. October 31, 2013. Retrieved 2022-08-29.
142. LoMonte, Frank (2021-12-13). "The First Amendment, Social Media and College Admissions". Inside Higher Ed.
143. ^ "5 Court Cases Where Social Media Played a Part". Blog Herald. August 24, 2017. Retrieved 2018-10-27.
144. ^ Raymer, Elizabeth (September 24, 2018). "The (social media) evidence is clear". www.canadianlawyermag.com. Canadian Lawyer. Retrieved 2018-10-27.
145. Gross, Doug (2010-03-01). "Survey: More Americans get news from Internet than newspapers or radio". cnn.com.
146. Rainie & Wellman 2012.
147. Shearer, Elisa; Grieco, Elizabeth (October 2, 2019). "Americans Are Wary of the Role Social Media Sites Play in Delivering the News". Retrieved March 2, 2022.
148. Hemsley, Jeff; Jacobson, Jenna; Gruzd, Anatoliy; Mai, Philip (July 2018). "Social Media for Social Good or Evil: An Introduction". Social Media + Society. 4 (3): 205630511878671. doi:10.1177/2056305118786719. ISSN 2056-3051.
149. ACUNA, Tanja (2018-04-25). "The digital transformation of news media and the rise of disinformation and fake news". EU Science Hub - European Commission. Retrieved 2020-02-23.
150. Wang, Z.; Tchernev, J. M.; Solloway, T. (2012). "A dynamic longitudinal examination of social media use, needs, and gratifications among college students". Computers in Human Behavior. 28 (5): 1829–1839. doi:10.1016/j.chb.2012.05.001.
151. Morahan-Martin, J.; Schumacher, P. (2003). "Loneliness and social uses of the internet". Computers in Human Behavior. 19 (6): 659–671. doi:10.1016/S0747-5632(03)00040-2.
152. ^ Rideout, Vicky; Robb, Michael, B. (2018). "Social Media, Social Life: Teens Reveal Their Experiences, 2018". Common Sense Media.{{cite web}}: CS1 maint: multiple names: authors list (link)
153. Ritter, Zacc (May 21, 2020). "Americans Use Social Media for COVID-19 Info, Connection". Gallup.
154. ^ Turkle, S. (2012). Alone together: Why we expect more from technology and less from each other. New York, NY: Basic Books. ISBN 978-0-465-03146-7.
155. Robb, Michael B.; Bay, Willow; Vennegaard, Tina (2019-10-01). "The New Normal: Parents, Teens, and Mobile Devices in Mexico". Common Sense Media.
156. Burke, Moira; Kraut, Robert; Marlow, Cameron (2011). Social capital on Facebook: Differentiating uses and users (PDF). Vol. 7–9. pp. 571–580. doi:10.1145/1978942.1979023. ISBN 978-1-4503-0228-9. S2CID 8060040. Archived from the original (PDF) on 2015-11-29. Retrieved 2016-03-01. {{cite book}}: |journal= ignored (help)
157. ^ Walker, Leslie (October 23, 2016). "The Ins and Outs of Facebook Creeping". www.lifewire.com. Lifewire. Retrieved 2018-11-12.
158. Fox, Jesse (February 26, 2014). "Why Exes Aren't So "Ex" Anymore". www.psychologytoday.com. Psychology Today. Retrieved 2018-11-12.
159. McCormack, Steven; Ortiz, Joseph (2017). Choices & Connections (second ed.).
160. Chan, TH (2014). "Facebook and its Effects on Users' Empathic Social Skills and Life Satisfaction: A Double-Edged Sword Effect". Cyberpsychology, Behavior, and Social Networking. 17 (5): 276–280. doi:10.1089/cyber.2013.0466. PMID 24606026. S2CID 6850595.
161. Goffman, Erving (1971). The presentation of self in everyday life. Harmondsworth: Penguin. ISBN 0-14-021350-3. OCLC 3091353.
162. "Children, Teens, Media, and Body Image". Common Sense Media. Retrieved 2017-12-03.
163. van der Nagel, Emily (2017-09-02). "From usernames to profiles: the development of pseudonymity in Internet communication". Internet Histories. 1 (4): 312–331. doi:10.1080/24701475.2017.1389548. ISSN 2470-1475. S2CID 218589874.
164. ^ Chua, Trudy Hui Hui; Chang, Leanne (2016). "Follow me and like my beautiful selfies: Singapore teenage girls' engagement in self-presentation and peer comparison on social media". Computers in Human Behavior. 55: 190–7. doi:10.1016/j.chb.2015.09.011.
165. Chen, Gina Masullo (2015). "Losing Face on Social Media". Communication Research. 42 (6): 819–38. doi:10.1177/0093650213510937. S2CID 28015890.
166. Kowalski, Robin M.; Limber, Susan P.; Agatston, Patricia W. (2012). Cyberbullying: Bullying in the Digital Age. Wiley-Blackwell.
167. Wolpert, Stuart. "Teenage Brain on Social Media". Retrieved 2016-05-31.
168. Holland, G.; Tiggerman, M. (2016). "A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes". Body Image. 17: 101–109. doi:10.1016/j.bodyim.2016.02.008. PMID 26995158.
169. Lewallen, Jennifer; Behm-Morawitz, Elizabeth (March 30, 2016). "Pinterest or Thinterest?: Social Comparison and Body Image on Social Media". Social Media + Society. 2 (1): 205630511664055. doi:10.1177/2056305116640559.
170. Patton, George C.; Sawyer, Susan M.; Santelli, John S.; Ross, David A.; Afifi, Rima; Allen, Nicholas B.; Arora, Monika; Azzopardi, Peter; Baldwin, Wendy (June 2016). "Our future: a Lancet commission on adolescent health and wellbeing". The Lancet. 387 (10036): 2423–2478. doi:10.1016/s0140-6736(16)00579-1. ISSN 0140-6736. PMC 5832967. PMID 27174304.
171. Holmberg, Christopher; Berg, Christina; Dahlgren, Jovanna; Lissner, Lauren; Chaplin, John Eric (2018). "Health literacy in a complex digital media landscape: Pediatric obesity patients' experiences with online weight, food, and health information". Health Informatics Journal. 25 (4): 1343–1357. doi:10.1177/1460458218759699. PMID 29499615. S2CID 3687773.
172. ^ "media and eating disorders". National Eating Disorder Association. 5 October 2017. Retrieved 15 May 2021.
173. Manheim, David; Gesser-Edelsburg, Anat (2018). "The Structure of Tweets about Vaccine Safety Between Health Organizations, Experts and the Public: Analyzing Risk Communication Conversations". Disaster Medicine and Public Health Preparedness. 25 (4): 1343–1357. doi:10.1017/dmp.2020.404. PMC 7943953. PMID 33089770.
174. Wilson, Jenny; Peebles, Rebecka; Hardy, KK; Litt, IF; Wilson, J L (December 2006). "Surfing for thinness: A pilot study of pro-eating disorder web site usage in adolescents with eating disorders". Pediatrics. 118 (6): e1635–e1643. doi:10.1542/peds.2006-1133. PMID 17142493. S2CID 22277352.
175. Ransom, Danielle C; La Guardia, Jennifer G; Woody, Erik Z; Boyd, Jennifer L (2010). "Interpersonal interactions on online forums addressing eating concerns". International Journal of Eating Disorders. 43 (2): 161–170. doi:10.1002/eat.20629. PMID 19308991.
176. "Eating Disorders and the Internet". National Association of Anorexia Nervosa and Associated Disorders. Archived from the original on 2010-10-19. Retrieved 2010-09-07.
177. Robinson, Lawrence. "Social Media and Mental Health - HelpGuide.org". www.helpguide.org. Retrieved 2021-06-21.
178. Carrion-Alvarez, Diego; Tijerina-Salina, Perla X. (2020-11-07). "Fake news in COVID-19: A perspective". Health Promotion Perspectives. 10 (4): 290–291. doi:10.34172/hpp.2020.44. ISSN 2228-6497. PMC 7722992. PMID 33312921.
179. Chen, Xi; Zhang, Stephen X.; Jahanshahi, Asghar Afshar; Alvarez-Risco, Aldo; Dai, Huiyang; Li, Jizhen; García Ibarra, Verónica (2020). "Belief in a COVID-19 Conspiracy Theory as a Predictor of Mental Health and Well-Being of Health Care Workers in Ecuador: Cross-Sectional Survey Study". JMIR Public Health and Surveillance. 6 (3): e20737. doi:10.2196/20737. PMC 7375774. PMID 32658859.{{cite journal}}: CS1 maint: unflagged free DOI (link)
180. Zhang, Stephen X.; Graf-Vlachy, Lorenz; Kim, Hoe Looi; Su, Rui; Li, Jizhen (2020). "Social media use as a predictor of handwashing during a pandemic: evidence from COVID-19 in Malaysia". Epidemiology and Infection. 148: e261. doi:10.1017/S0950268820002575. PMC 7653491. PMID 33092675.
181. Kitch, Carolyn (2002). "Anniversary Journalism, Collective Memory, and the Cultural Authority to Tell the Story of the American Past". Journal of Popular Culture. 36: 44–67. doi:10.1111/1540-5931.00030. S2CID 161675942.
182. Edy, Jill (1999). "Journalistic Uses of Collective Memory". Journal of Communication. 49 (2): 71–85. doi:10.1111/j.1460-2466.1999.tb02794.x.
183. Pajala, Mary (2012). "Television as an Archive of Memory?". Critical Studies in Television. 5 (2): 133–145. doi:10.7227/cst.5.2.16. S2CID 156717273.
184. Neiger, M.; Meyers, O.; Zandberg, E. (2011-04-27). On Media Memory: Collective Memory in a New Media Age. Springer. ISBN 9780230307070.
185. Barnhurst, Kevin; Wartella, Ellen (1998). "Young Citizens, American TV Newscasts and the Collective Memory". Critical Studies in Mass Media. 15 (3): 279–305. doi:10.1080/15295039809367049.
186. Graeff, Erhardt; Stempeck, Matt; Zuckerman, Ethan (28 January 2014). "View of The battle for 'Trayvon Martin': Mapping a media controversy online and off-line". First Monday. doi:10.5210/fm.v19i2.4947. hdl:1721.1/123459. Retrieved 2021-04-16.{{cite journal}}: CS1 maint: unflagged free DOI (link)
187. Chohan, Usman W.; D'Souza, Aron (2020-01-11). "The Joys & Ills of Social Media: A Review". SSRN Electronic Journal. doi:10.2139/ssrn.3517813. S2CID 213398742.
188. "Cyber Bullying Statistics". Bullying Statistics. July 7, 2015. Retrieved 2022-08-29.
189. Peebles, E (2014). "Cyberbullying: Hiding behind the screen". Paediatrics & Child Health. 19 (10): 527–528. doi:10.1093/pch/19.10.527. PMC 4276384. PMID 25587229.
190. Hawi, N.S.; Samaha, M. (2017). "The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students". Social Science Computer Review. 35 (5): 576–586. doi:10.1177/0894439316660340. S2CID 64367207.
191. Stefanone, M.A.; Lackaff, D.; Rosen, D. (2011). "Contingencies of Self-Worth and Social-Networking-Site Behavior" (PDF). Cyberpsychology, Behavior, and Social Networking. 14 (1–2): 41–9. doi:10.1089/cyber.2010.0049. hdl:2152/41152. PMID 21329442. S2CID 8585314.
192. Criddle, Cristina (2021-01-27). "Social media damages teenagers' mental health, report says". BBC News. Retrieved 2021-01-28.
193. Blackford, Meghan. "#bodypositive: A Look at Body Image & Social Media". FHE Health. Retrieved 5 October 2020.
194. "Link between social media and body image". FHE Health. Retrieved 15 May 2021.
195. Tiggemann, Marika; Anderberg, Isabella (2019-11-16). "Social media is not real: The effect of 'Instagram vs reality' images on women's social comparison and body image". New Media & Society. 22 (12): 2183–2199. doi:10.1177/1461444819888720. S2CID 210505708.
196. Brown, Jessica. "Is social media bad for you? The evidence and the unknowns". BBC. Retrieved 2018-06-13.
197. ^ Levenson, Jessica; Shensa, Ariel; Sidani, Jaime E.; Colditz, Jason B.; Primack, Brian A. (April 2016). "The association between social media use and sleep disturbance among young adults". Preventative Meditation. 85: 36–41. doi:10.1016/j.ypmed.2016.01.001. PMC 4857587. PMID 26791323.
198. Levenson, Jessica C.; Shensa, Ariel; Sidani, Jaime E.; Colditz, Jason B.; Primack, Brian A. (April 2016). "The Association Between Social Media Use and Sleep Disturbance Among Young Adults". Preventive Medicine. 85: 36–41. doi:10.1016/j.ypmed.2016.01.001. PMC 4857587. PMID 26791323.
199. Ritcher, Ruthann (October 2015). "Among teens, sleep deprivation an epidemic". News Center. Stanford School of Medicine. Retrieved 14 November 2020.
200. Junco, Reynol (September 2011). "Too Much Face and Not Enough Books". Computers in Human Behavior. 28: 187–198. doi:10.1016/j.chb.2011.08.026.
201. "Is Dark Mode Better For Your Eyes?". Healthline. 2021-04-07. Retrieved 2022-04-07.
202. Seymour (2021). Successes and setbacks of social media: impact on academic life. Wiley Blackwell. p. 132. ISBN 9781119695233.
203. Bányai, Fanni; Zsila, Ágnes; Király, Orsolya; Maraz, Aniko; Elekes, Zsuzsanna; Griffiths, Mark D.; Andreassen, Cecilie Schou; Demetrovics, Zsolt (January 9, 2017). "Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample". PLOS ONE. 12 (1): e0169839. Bibcode:2017PLoSO..1269839B. doi:10.1371/journal.pone.0169839. ISSN 1932-6203. PMC 5222338. PMID 28068404.
204. Sherrell, Zia (2021-09-15). "Social media and mental health: Depression and psychological effects". www.medicalnewstoday.com. Retrieved 2022-03-07.
205. Zagorski, Nick (January 20, 2017). "Using Many Social Media Platforms Linked With Depression, Anxiety Risk". Psychiatric News. 52 (2): 1. doi:10.1176/appi.pn.2017.1b16. ISSN 0033-2704.
206. Han, Bo (2018). "Social Media Burnout: Definition, Measurement Instrument, and Why We Care". Journal of Computer Information Systems. 58 (2): 1–9. doi:10.1080/08874417.2016.1208064. S2CID 67791822.
207. ^ Przybylski, Andrew K.; Murayama, Kou; DeHaan, Cody R.; Gladwell, Valerie (2013). "Motivational, emotional, and behavioral correlates of fear of missing out". Computers in Human Behavior. 29 (4): 1841–1848. doi:10.1016/j.chb.2013.02.014.
208. "Fear of Missing Out (FOMO)" (PDF). J. Walter Thompson. March 2012. Archived from the original (PDF) on 2015-06-26.
209. Wortham, J. (2011-04-10). "Feel Like a Wallflower? Maybe It's Your Facebook Wall". The New York Times. Retrieved 2022-08-29.
210. Shea, Michael (2015-07-27). "Living with FoMO". The Skinny. Retrieved 2022-08-29.
211. Roberts, James (2020). "The Social Media Party: Fear of Missing Out (FoMO), Social Media Intensity, Connection, and Well-Being". International Journal of Human–Computer Interaction. 36 (4): 386–392. doi:10.1080/10447318.2019.1646517. S2CID 201138032.
212. Fuller, Maren Y.; Allen, Timothy Craig (2016-09-01). "Let's Have a Tweetup: The Case for Using Twitter Professionally". Archives of Pathology & Laboratory Medicine. 140 (9): 956–957. doi:10.5858/arpa.2016-0172-SA. ISSN 1543-2165. PMID 27195434.
213. Liu, Lisa; Woo, Benjamin K P (2021-01-19). "Twitter as a Mental Health Support System for Students and Professionals in the Medical Field". JMIR Medical Education. 7 (1): e17598. doi:10.2196/17598. ISSN 2369-3762. PMC 7854042. PMID 33464210.
214. Zhou, Wei-Xing; Leidig, Mathias; Teeuw, Richard M. (2015). "Quantifying and Mapping Global Data Poverty". PLOS ONE. 10 (11): e0142076. Bibcode:2015PLoSO..1042076L. doi:10.1371/journal.pone.0142076. PMC 4641581. PMID 26560884.
215. "FALLING THROUGH THE NET: A Survey of the "Have Nots" in Rural and Urban America". U.S. Department of Commerce, National Telecommunications and Information Administration. July 1995. Retrieved 2022-08-29.
216. Graham, M. (July 2011). "Time machines and virtual portals: The spatialities of the digital divide". Progress in Development Studies. 11 (3): 211–227. CiteSeerX 10.1.1.659.9379. doi:10.1177/146499341001100303. S2CID 17281619.
217. Reilley, Collen A. (January 2011). "Teaching Misplaced Pages as a Mirrored Technology". First Monday. 16 (1–3). doi:10.5210/fm.v16i1.2824.
218. Reinhart, J.; Thomas, E.; Toriskie, J. (2011). "K-12 Teachers: Technology Use and the Second Level Digital Divide". Journal of Instructional Psychology. 38 (3/4): 181.
219. Kontos, Emily Z.; Emmons, Karen M.; Puleo, Elaine; Viswanath, K. (2010). "Communication Inequalities and Public Health Implications of Adult Social Networking Site Use in the United States". Journal of Health Communication. 15 (Suppl 3): 216–235. doi:10.1080/10810730.2010.522689. PMC 3073379. PMID 21154095.
220. Heuler, Hilary (2015-05-15). "Who really wins from Facebook's 'free internet' plan for Africa?". ZDNet. Retrieved 2022-08-29.
221. Mirani, Leo (February 9, 2015). "Millions of Facebook users have no idea they're using the internet". Quartz.
222. Ehrmann, Eric (December 14, 2011). "Uruguay Prodded by G-20 to End Bank Secrecy". Huff Post. Retrieved 2022-08-29.
223. Shearer, Elisa; Matsa, Katerina Eva (September 10, 2018). "News Use Across Social Media Platforms 2018". Pew Research Center. Retrieved 2018-12-08.
224. ^ Shvalb, Nir, ed. (2022). Our Western Spring: The Battle Between Technology and Democracy, Moment of Truth Kindle Edition. Amazon.
225. ^ Hayat, Tsahi; Samuel-Azran, Tal (April 3, 2017). ""You too, Second Screeners?" Second Screeners' Echo Chambers During the 2016 U.S. Elections Primaries". Journal of Broadcasting & Electronic Media. 61 (2): 291–308. doi:10.1080/08838151.2017.1309417. ISSN 0883-8151. S2CID 148973729.
226. Chohan, Usman W.; D'Souza, Aron (2020-03-26). "A Critical Appraisal of the Twitterverse". Social Media Critical Research Series. SSRN 3546890. Retrieved 2022-08-29.
227. Evans and Clark, Heather and Jennifer (2016). "'You Tweet Like a Girl!': How Female Candidates Campaign on Twitter". American Politics Research. 44 (2): 326. doi:10.1177/1532673X15597747. S2CID 155159860.
228. Evans and Clark, Heather and Jennifer (2016). "'You Tweet Like a Girl!': How Female Candidates Campaign on Twitter". American Politics Research. 44 (2): 343. doi:10.1177/1532673X15597747. S2CID 155159860.
229. ^ Volfovsky, Alexander; Merhout, Friedolin; Mann, Marcus; Lee, Jaemin; Hunzaker, M. B. Fallin; Chen, Haohan; Bumpus, John P.; Brown, Taylor W.; Argyle, Lisa P. (September 11, 2018). "Exposure to opposing views on social media can increase political polarization". Proceedings of the National Academy of Sciences. 115 (37): 9216–9221. Bibcode:2018PNAS..115.9216B. doi:10.1073/pnas.1804840115. ISSN 1091-6490. PMC 6140520. PMID 30154168.
230. ^ Diehl, Trevor; Weeks, Brian E; Gil de Zúñiga, Homero (July 9, 2016). "Political persuasion on social media: Tracing direct and indirect effects of news use and social interaction". New Media & Society. 18 (9): 1875–1895. doi:10.1177/1461444815616224. ISSN 1461-4448. S2CID 7876343.
231. ^ Greenwood, Molly M.; Sorenson, Mary E.; Warner, Benjamin R. (April 2016). "Ferguson on Facebook: Political persuasion in a new era of media effects". Computers in Human Behavior. 57: 1–10. doi:10.1016/j.chb.2015.12.003. ISSN 0747-5632.
232. ^ Lee, Jae Kook; Choi, Jihyang; Kim, Cheonsoo; Kim, Yonghwan (January 30, 2014). "Social Media, Network Heterogeneity, and Opinion Polarization". Journal of Communication. 64 (4): 702–722. doi:10.1111/jcom.12077. ISSN 0021-9916.
233. ^ Mihailidis, Paul; Viotty, Samantha (March 27, 2017). "Spreadable Spectacle in Digital Culture: Civic Expression, Fake News, and the Role of Media Literacies in "Post-Fact" Society". American Behavioral Scientist. 61 (4): 441–454. doi:10.1177/0002764217701217. ISSN 0002-7642. S2CID 151950124.
234. Díaz-Fernández, Antonio M.; del-Real-Castrillo, Cristina (July 1, 2018). "Spies and security: Assessing the impact of animated videos on intelligence services in school children". Comunicar (in Spanish). 26 (56): 81–89. doi:10.3916/c56-2018-08. ISSN 1134-3478.
235. Kelly, Charlotte (2018-08-29). "Three ways teenagers are misrepresented in society". The Conversation. Retrieved 2022-04-07.
236. Knight, Rod; Jauffret-Roustide, Marie; Bolduc, Naseeb; Coulard, Pierre-julien (2020-12-03). "Young adults, unfairly blamed for COVID-19 spread, now face stress and uncertain futures - Beyond". beyond.ubc.ca. Retrieved 2022-04-07.
237. Ng, Reuben (2021-08-21). "Societal Age Stereotypes in the U.S. and U.K. from a Media Database of 1.1 Billion Words". International Journal of Environmental Research and Public Health. 18 (16): 8822. doi:10.3390/ijerph18168822. ISSN 1661-7827. PMC 8391425. PMID 34444578.
238. DuPraw, Marcelle E.; Axner, Marya (1997). "Working on Common Cross-cultural Communication Challenges". www.pbs.org. Retrieved 2022-08-29.
239. Prakapienė, Dalia; Prakapas, Romas (August 2016). "The Impact of Social Media on Intercultural Communication". Research Gate. Retrieved 3 December 2019.
240. Fians, Guilherme (2021) Esperanto Revolutionaries and Geeks: Language Politics, Digital Media and the Making of an International Community. Cham, London, and New York: Palgrave Macmillan. doi:10.1007/978-3-030-84230-7
241. Saxton, Gregory D.; Niyirora, Jerome N.; Guo, Chao; Waters, Richard D. (Spring 2015). "#AdvocatingForChange: The Strategic Use of Hashtags in Social Media Advocacy". Advances in Social Work. 16: 154–169. doi:10.18060/17952.
242. Crystal, David (2008) Txting: The gr8 db8. Oxford: Oxford University Press.
243. "How Using Social Media Affects Teenagers". Child Mind Institute. Retrieved 2022-10-20.
244. Anderson, Monica; Jiang, Jingjing (28 November 2018). "1. Teens and their experiences on social media". Pew Research Center: Internet, Science & Tech. Retrieved 21 November 2020.
245. Lalli, Jaideep Singh (2021-08-05). "Maryland's Underage Sexting Case: Punishing Revenge Porn Victims?: Case Analysis of In Re: S.K., 215 A.3d 300 (Md. 2019)". Journal of Victimology and Victim Justice: 25166069211033212. doi:10.1177/25166069211033212. ISSN 2516-6069. S2CID 241531975.
246. Osterday, Mitchell (2015–2016). "Protecting Minors from Themselves: Expanding Revenge Porn Laws to Protect the Most Vulnerable". Indiana Law Review. 49 (2): 555. doi:10.18060/4806.0075.
247. Phippen, Andy; Brennan, Maggie (2020-12-07). Sexting and Revenge Pornography: Legislative and Social Dimensions of a Modern Digital Phenomenon. London: Routledge. doi:10.4324/9781315149691. ISBN 978-1-315-14969-1. S2CID 228921617.
248. Paat, Yok-Fong; Markham, Christine (2021-01-02). "Digital crime, trauma, and abuse: Internet safety and cyber risks for adolescents and emerging adults in the 21st century". Social Work in Mental Health. 19 (1): 18–40. doi:10.1080/15332985.2020.1845281. ISSN 1533-2985. S2CID 228869238.
249. ^ Mir, Eline; Novas, Caroline; Seymour, Meg (2018-08-10). "Social Media and Adolescents' and Young Adults' Mental Health". National Center for Health Research. Retrieved 2020-02-29.
250. Flanigin, Andrew J.; Metzger, Miriam (2007). "The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information" (PDF). New Media and Society. 9 (2): 319–342. doi:10.1177/1461444807075015. S2CID 33591074. Retrieved 2014-02-15.
251. Paul, Jomon Aliyas; Baker, Hope M.; Cochran, Justin Daniel (November 2012). "Effect of online social networking on student academic performance". Computers in Human Behavior. 28 (6): 2117–2127. doi:10.1016/j.chb.2012.06.016.
252. Hinchiffe, Don (2013-06-25). "Are social media silos holding back business". ZDNet.com. Retrieved 2014-02-15.
253. Rainie & Wellman 2012, p. 19–30.
254. Greene-Colozzi, Emily A.; Winters, Georgia M.; Blasko, Brandy; Jeglic, Elizabeth L. (2020-10-02). "Experiences and Perceptions of Online Sexual Solicitation and Grooming of Minors: A Retrospective Report". Journal of Child Sexual Abuse. 29 (7): 836–854. doi:10.1080/10538712.2020.1801938. ISSN 1053-8712. PMID 33017275. S2CID 222159972.
255. Henshaw, Marie; Darjee, Rajan; Clough, Jonathan A. (2020-01-01), Bryce, India; Petherick, Wayne (eds.), "Chapter Five - Online child sexual offending", Child Sexual Abuse, Academic Press, pp. 85–108, ISBN 978-0-12-819434-8, retrieved 2021-12-31
256. Ray, Munni (2010). "Effect of Electronic Media on Children". Indian Pediatrics. 47 (7). Springer-Verlag: 561–8. doi:10.1007/s13312-010-0128-9. PMID 20683108. S2CID 22467923. Retrieved 2013-02-04.
257. Spears, B. A.; Taddeo, C. M.; Daly, A. L.; Stretton, A.; Karklins, L. T. (2015). "Cyberbullying, help-seeking and mental health in young Australians: Implications for public health". International Journal of Public Health. 60 (2): 219–226. doi:10.1007/s00038-014-0642-y. PMID 25572385. S2CID 10315516.
258. Trimarchi, Maria (July 24, 2009). "5 Myths About Twitter". Howstuffworks. Retrieved 2017-10-22.
259. Keen, Andrew (2007). The Cult of the Amateur. Random House. p. 15. ISBN 978-0-385-52081-2.
260. Haidt, Jonathan (11 April 2022). "Why the Past 10 Years of American Life Have Been Uniquely Stupid". The Atlantic. Retrieved 2022-08-29.
261. Sales, Nancy Jo (Feb 23, 2016). American Girls: Social Media and the Secret Lives of Teenagers. New York, USA: Knopf Doubleday Publishing Group. ISBN 978-0-385-35392-2.
262. Westerman, David; Spence, Patric R.; Van Der Heide, Brandon (2014-01-01). "Social Media as Information Source: Recency of Updates and Credibility of Information". Journal of Computer-Mediated Communication. 19 (2): 171–183. doi:10.1111/jcc4.12041.
263. Kim, Kyung=Sun; Sin, Sei-Ching Joanna; Yoo-Lee, Eun Young (2014). "Undergraduates' Use of Social Media as Information Sources". College & Research Libraries. 75 (4): 442–457. doi:10.5860/crl.75.4.442.
264. Dickey, Irene J.; Lewis, William F. (2010). "The Evolution (Revolution) of Social Media and Social Networking as a Necessary Topic in the Marketing Curriculum: A Case for Integrating Social Media into Marketing Classes". Advances in Marketing: Embracing Challenges and Change - A Global Perspective. Management and Marketing Faculty Publications, Paper 32. University of Dayton. Retrieved 2017-11-14.
265. Confessore, Nicholas (January 27, 2018). "The Follower Factory". The New York Times. Retrieved 2022-08-29.
266. Krutrök, Moa Erikkson; Lindgren, Simon (2 February 2022). "Social media amplification loops and false alarms: Towards a Sociotechnical understanding of misinformation during emergencies". The Communication Review. 25 (2): 81–95. doi:10.1080/10714421.2022.2035165. S2CID 246522902.
267. "Facebook starts fact-checking partnership with Reuters". Reuters. February 12, 2020. Retrieved March 2, 2022 – via www.reuters.com.
268. Watercutter, Angela. "Two to Tango: Twitter Fact-Checks the Fact-Checkers". Wired. Retrieved March 2, 2022 – via www.wired.com.
269. "See fact checks in YouTube search results - YouTube Help". support.google.com. Retrieved March 2, 2022.
270. Morozov, Evgeny (Fall 2009). "Iran: Downside to the 'Twitter Revolution'". Dissent. 56 (4): 10–14. doi:10.1353/dss.0.0092. S2CID 143473583.
271. ^ Auer, Matthew R. (2011). "The Policy Sciences of Social Media". Policy Studies Journal. 39 (4): 709–736. doi:10.1111/j.1541-0072.2011.00428.x. S2CID 153590593. SSRN 1974080.
272. Leaver, Tama (May 2013). "The Social Media Contradiction: Data Mining and Digital Death". M/C Journal. 16 (2). doi:10.5204/mcj.625. Retrieved 2018-06-20.
273. Sumbaly, Roshan; Kreps, Jay; Shah, Sam (June 2013). "The big data ecosystem at LinkedIn". Proceedings of the 2013 international conference on Management of data - SIGMOD '13 (Report). SIGMOD '13: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. pp. 1125–1134. doi:10.1145/2463676.2463707. ISBN 9781450320375.
274. "Mark Zuckerberg Testimony: Senators Question Facebook's Commitment to Privacy". The New York Times. 10 April 2018. Archived from the original on 2018-04-11. Retrieved 2018-06-13.
275. ^ Gladwell, Malcolm (October 4, 2010). "Small Changes – Why the revolution will not be tweeted". The New Yorker. Retrieved 2012-11-15.
276. Kwak, Nojin; Lane, Daniel S; Weeks, Brian E; Kim, Dam Hee; Lee, Slgi S; Bachleda, Sarah (April 1, 2018). "Perceptions of Social Media for Politics: Testing the Slacktivism Hypothesis". Human Communication Research. 44 (2): 197–221. doi:10.1093/hcr/hqx008. ISSN 0360-3989.
277. ^ Jones, Harvey; Soltren, José Hiram (2005). "Facebook: Threats to Privacy" (PDF). MIT Computer Science & Artificial Intelligence Lab. Retrieved 2018-04-04.
278. ^ "Help Center". help.instagram.com. Retrieved 2022-12-03.
279. Madden, Mary; Lenhart, Amanda; Cortesi, Sandra; Gasser, Urs; Duggan, Maeve; Smith, Aaron; Beaton, Meredith (May 21, 2013). "Teens, Social Media, and Privacy". Pew Research Center: Internet, Science & Tech. Retrieved 2016-11-29.
280. "Social Media Privacy Issues for 2020: Threats & Risks". Tulane University. 8 November 2019. Retrieved 2020-11-12.
281. Murphy, Kate (October 4, 2014). "We Want Privacy, but Can't Stop Sharing". The New York Times. Archived from the original on 2014-10-05.
282. Mills, Max (2017). "Sharing Privately". Journal of Media Law. 9: 45–71. doi:10.1080/17577632.2016.1272235. S2CID 151703849.
283. Rainie, Lee (March 27, 2018). "Americans' complicated feelings about social media in an era of privacy concerns". Pew Research Center. Retrieved 2018-06-13.
284. Fidler, Stephen; Wells, Georgia (2019-02-17). "U.K. Lawmakers Rebuke Facebook in Call for Social-Media Regulation". The Wall Street Journal. Retrieved 2022-08-29.
285. "TikTok and WeChat: US to ban app downloads in 48 hours". BBC News. 18 September 2020. Retrieved 18 September 2020.
286. O'Brien, Matt (2020-10-30). "Judge postpones Trump's TikTok ban in suit brought by users". AP NEWS. Retrieved 2020-11-29.
287. "US Navy bans TikTok from mobile devices saying it's a cybersecurity threat". The Guardian. 21 December 2019. Retrieved 6 January 2023.
288. "US government agencies are banning TikTok, the social media app teens are obsessed with, over cybersecurity fears — here's the full list". Business Insider. 25 February 2020. Retrieved 6 January 2023.
289. Cova, Bernard; Dalli, Daniele (2009). "Working consumers: the next step in marketing theory?" (PDF). Marketing Theory. 9 (3): 315–339. doi:10.1177/1470593109338144. S2CID 54610246.
290. Pihl, Christofer (2011). Marketing fads and fashions – exploring digital marketing practices and emerging organisational fields (PDF) (Licentiate thesis). Gothenburg University. Retrieved 2022-08-29.
291. Laurell, Christofer (2014). Commercialising social media: a study of fashion (blogo)spheres (PDF). Stockholm University. ISBN 978-91-7447-769-6.
292. Pihl, Christofer (2013). "When customers create the ad and sell it –a value network approach" 消费者制作广告并销售——价值网络方法. Journal of Global Scholars of Marketing Science. 23 (2): 127–143. doi:10.1080/21639159.2013.763487. S2CID 167869913.
293. Pihl, Christofer; Sandström, Christian (2013). "Value creation and appropriation in social media –the case of fashion bloggers in Sweden". International Journal of Technology Management. 61 (3/4): 309. doi:10.1504/IJTM.2013.052673.
294. Summers, Amy (May 2, 2011). "Facebook Addiction Disorder — The 6 Symptoms of F.A.D." AdWeek. Retrieved 2011-05-02.
295. Brailovskaia, J.; Margraf, J. (2017). "Facebook Addiction Disorder (FAD) among German students—A longitudinal approach". PLOS ONE. 12 (12): 2423–2478. Bibcode:2017PLoSO..1289719B. doi:10.1371/journal.pone.0189719. PMC 5730190. PMID 29240823.
296. Zhao, Nan; Zhou, Guangyu (9 February 2021). "COVID-19 Stress and Addictive Social Media Use (SMU): Mediating Role of Active Use and Social Media Flow". Frontiers in Psychiatry. 12: 635546. doi:10.3389/fpsyt.2021.635546. PMC 7899994. PMID 33633616.
297. Watch The Social Dilemma. www.netflix.com (Film). Netflix Official Site. Retrieved 2022-04-13.
298. Kane, Suzanne (December 6, 2018). "Portion-Control in Social Media? How Limiting Time Increases Well-Being". World of Psychology. Archived from the original on August 14, 2020. Retrieved 2019-04-29.
299. Pogorskiy, Eduard; Beckmann, Jens F. (2023). "From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning". Computers and Education: Artificial Intelligence. 4: 100111. doi:10.1016/j.caeai.2022.100111. S2CID 254612244.
300. Kist, W. (2013). "Class, Get Ready to Tweet: Social Media in the Classroom". Our Children: The National PTA Magazine. Vol. 38, no. 3. pp. 10–11.
301. Sarıkaya, Salih (October 30, 2014). "Social Media Ban In Turkey: What Does It Mean? by Salih Sarıkaya". Archived from the original on 2014-10-06.
302. "Turkey's Twitter ban violates free speech: constitutional court". Reuters. April 2, 2014. Retrieved 2022-08-29.
303. Cooper, Mex (July 30, 2014). "Social media users could be charged for sharing WikiLeaks story". Brisbane Times. Retrieved 2022-08-29.
304. Walsh, Declan (28 July 2020). "Egypt Sentences Women to 2 Years in Prison for TikTok Videos". The New York Times. Archived from the original on 2020-07-28. Retrieved 28 July 2020.
305. Kan, Michael (2019-12-11). "Twitter Wants Social Media to Be More Like Email". PC Magazine. Retrieved 2022-08-29.
306. Reynolds, Glenn Harlan (August 18, 2018). "When Digital Platforms Become Censors". The Wall Street Journal. Archived from the original on 2019-03-30.
307. Van Loo, Rory (2021). "Federal Rules of Platform Procedure". University of Chicago Law Review. 829.
308. Chandrasekharan, Eshwar; Pavalanathan, Umashanti; Srinivasan, Anirudh; Glynn, Adam; Eisenstein, Jacob; Gilber, Eric (November 2017). "You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech". Proceedings of the ACM on Human-Computer Interaction. 1 (CSCW): Article 31. doi:10.1145/3134666. S2CID 22713682.
309. McCullagh, Declan (February 2019). "Deplatforming Is a Dangerous Game". Reason. Archived from the original on 2019-03-31.
310. Vogels, Emily A.; Perrin, Andrew; Anderson, Monica (19 August 2020). "Most Americans Think Social Media Sites Censor Political Viewpoints". Pew Research Center. Retrieved 2022-08-29.
311. ^ Boyd, Danah (2011). "White Flight in Networked Publics? How Race and Class Shaped American Teen Engagement with MySpace and Facebook". In Nakamura, Lisa; Chow-White, Peter (eds.). Race After the Internet. Routledge. pp. 203–222.
312. Giangreco, Leigh (2018-11-29). "How Trump, ISIS and Russia have mastered the Internet as a weapon". The Washington Post. ISSN 0190-8286. Retrieved 2021-01-22.
313. Awan, Imran (2017-04-01). "Cyber-Extremism: Isis and the Power of Social Media". Society. 54 (2): 138–149. doi:10.1007/s12115-017-0114-0. ISSN 1936-4725. S2CID 54069174.
314. Romero, Laura (2021-01-12). "Experts say echo chambers from apps like Parler and Gab contributed to attack on Capitol". ABC News. Retrieved 2021-01-22.
315. Murdock, Jason (2021-01-13). "Amazon shut down Parler after users called for politicians, police to be killed: Lawsuit". Newsweek. Retrieved 2021-01-22.
316. "What happens to social media after you die". NewsComAu. 2018-12-30. Retrieved 2020-11-27.
317. ^ "Social Media Accounts After a Loved One Dies". Beyond. 2017-03-08. Retrieved 2020-11-27.
318. "How to contact Twitter about a deceased family member's account". help.twitter.com. Retrieved 2020-11-28.
319. "Instagram Help Center". help.instagram.com. Retrieved 2020-12-01.
320. "Deceased LinkedIn Member". LinkedIn Help. Retrieved 2020-12-01.
321. "Submit a request regarding a deceased user's account". google.account.help.com.

Further reading

• Agozzino, Alisa (2012). "Building A Personal Relationship Through Social Media: A Study Of Millenial Students' Brand Engagement". Ohio Communication Journal. 50: 181–204.
• Al-Rahmi, Waleed Mugahed; Othman, Mohd Shahizan (2013). "The Impact of Social Media use on Academic Performance among university students: A Pilot Study". Journal of Information Systems Research and Innovation: 1–10.
• Aral, Sinan (2020). The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health—and How We Must Adapt. Currency. ISBN 978-0-525-57451-4.
• Benkler, Yochai (2006). The Wealth of Networks. New Haven: Yale University Press. ISBN 978-0-300-11056-2. OCLC 61881089.
• Beshears, Michael L. (2016). "Effectiveness of Police Social Media Use". American Journal of Criminal Justice. 42 (3): 489–501. doi:10.1007/s12103-016-9380-4. S2CID 151928750.
• Blankenship, M (2011). "How social media can and should impact higher education". The Education Digest. 76 (7): 39. ProQuest 848431918.
• Fuchs, Christian (2014). Social Media: A Critical Introduction. London: Sage. ISBN 978-1-4462-5731-9.
• Gentle, Anne (2012). Conversation and Community: The Social Web for Documentation (2nd ed.). Laguna Hills, CA: XML Press. ISBN 978-1-937434-10-6. OCLC 794490599.
• Johnson, Steven Berlin (2005). Everything Bad Is Good for You. New York: Riverhead Books. ISBN 978-1-57322-307-2. OCLC 57514882.
• Jordan, Kasteler (2017). "How to use SEO data in your social media strategy".
• Jue, Arthur L.; Alcalde Marr, Jackie; Kassotakis, Mary Ellen (2010). Social media at work : how networking tools propel organizational performance (1st ed.). San Francisco, CA: Jossey-Bass. ISBN 978-0-470-40543-7.
• Lardi, Kamales; Fuchs, Rainer (2013). Social Media Strategy – A step-by-step guide to building your social business (1st ed.). Zurich: vdf. ISBN 978-3-7281-3557-5.
• Li, Charlene; Bernoff, Josh (2008). Groundswell: Winning in a World Transformed by Social Technologies. Boston: Harvard Business Press. ISBN 978-1-4221-2500-7. OCLC 423555651.
• Mateus, Samuel (2012). "Social Networks Scopophilic dimension – social belonging through spectatorship". Observatorio (OBS*) Journal (Special Issue). doi:10.15847/obsOBS000605. S2CID 142933378.
• McHale, Robert; Garulay, Eric (2012). Navigating Social Media Legal Risks: Safeguarding Your Business. Que. ISBN 978-0-7897-4953-6.
• Piskorski, Mikołaj Jan (2014). A Social Strategy: How We Profit from Social Media. Princeton, NJ: Princeton University Press. ISBN 978-0-691-15339-1.
• Powell, Guy R.; Groves, Steven W.; Dimos, Jerry (2011). ROI of Social Media: How to improve the return on your social marketing investment. New York: John Wiley & Sons. ISBN 978-0-470-82741-3. OCLC 0470827416.
• Rheingold, Howard (2002). Smart mobs: The next social revolution (1st printing ed.). Cambridge, MA: Perseus Pub. p. 288. ISBN 978-0-7382-0608-0.
• Schoen, Harald; Gayo-Avello, Daniel; Takis Metaxas, Panagiotis; Mustafaraj, Eni; Strohmaier, Markus; Gloor, Peter (2013). "The power of prediction with social media". Internet Research. 23 (5): 528–543. CiteSeerX 10.1.1.460.3885. doi:10.1108/IntR-06-2013-0115.
• Schrape, JF (2017). "Reciprocal irritations: Social media, mass media and the public sphere". Society, Regulation and Governance. pp. 138–150. doi:10.4337/9781786438386.00016. ISBN 978-1-78643-838-6. {{cite book}}: |journal= ignored (help)
• Scoble, Robert; Israel, Shel (2006). Naked Conversations: How Blogs are Changing the Way Businesses Talk with Customers. Hoboken, NJ: John Wiley. ISBN 978-0-471-74719-2. OCLC 61757953.
• Shirky, Clay (2008). Here Comes Everybody. New York: Penguin Press. ISBN 978-1-59420-153-0. OCLC 458788924.
• Siegel, Alyssa (September 7, 2015). "How Social Media Affects Our Relationships". Psychology Tomorrow.
• Surowiecki, James (2004). The Wisdom of Crowds. New York: Anchor Books. ISBN 978-0-385-72170-7. OCLC 156770258.
• Tapscott, Don; Williams, Anthony D. (2006). Wikinomics. New York: Portfolio. ISBN 978-1-59184-138-8. OCLC 318389282.
• Tedesco, Laura Anne (October 2000). "Lascaux (ca. 15,000 B.C.)". Heilbrunn Timeline of Art History. New York: The Metropolitan Museum of Art.
• Watts, Duncan J. (2003). Six degrees: The science of a connected age. London: Vintage. p. 368. ISBN 978-0-09-944496-1.

External links

• Media related to Social media at Wikimedia Commons

• Social media
• Collaborative projects
• Social networks