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Social information processing (theory)

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(Redirected from Cues-filtered-out theory) Theory of human interactions For the information processing that occurs in large-scale and typically networked groups, see Social information processing.
Computer-mediated communication has become easier and more convenient with the advent of smartphones.

Social information processing theory, also known as SIP, is a psychological and sociological theory originally developed by Salancik and Pfeffer in 1978. This theory explores how individuals make decisions and form attitudes in a social context, often focusing on the workplace. It suggests that people rely heavily on the social information available to them in their environments, including input from colleagues and peers, to shape their attitudes, behaviors, and perceptions.

Joseph Walther reintroduced the term into the field of interpersonal communication and media studies in 1992. In this work, he constructed a framework to explain online interpersonal communication without nonverbal cues and how people develop and manage relationships in a computer-mediated environment. Walther argued that online interpersonal relationships may demonstrate the same or even greater relational dimensions and qualities (intimacy) as traditional face-to-face (FtF) relationships. However, due to the limited channel and information, it may take longer to achieve than FtF relationships. These online relationships may help facilitate interactions that would not have occurred face-to-face due to factors such as geography and intergroup anxiety.

Overview

Origins

The term Social Information Processing Theory was originally titled by Salancik and Pfeffer in 1978. They stated that individual perceptions, attitudes, and behaviors are shaped by information cues, such as values, work requirements, and expectations from the social environment, beyond the influence of individual dispositions and traits. Later, they renamed Social Influence model.

At the start of the 1990s, after the advent of the Internet and the World Wide Web, interest grew in studying how the Internet impacted the ways people communicate with each other. Joseph Walther, a communication and media theorist, said that computer-mediated communication (CMC) users can adapt to this restricted medium and use it effectively to develop close relationships. Walther understood that describing the new nature of online communication required a new theory. Social information processing theory focuses on the social processes that occur when two or more people are engaged in communication, similar to theories such as social presence theory, social penetration theory, and uncertainty reduction theory. What makes SIP different from these theories is its distinct focus on communication mediated solely by information and communications technologies. While other media theories exist, such as media richness theory and uses and gratifications theory, SIP specifically focuses on relationships entirely mediated online.

The cues filtered-out theories

Unlike some theories that are rooted in other theoretical perspectives from various fields of study (e.g., Communication Accommodation Theory), SIP was conceptualized, in part, by addressing the shortcomings of other theories that addressed communication mediums. These theories are termed cues filtered-out theories. Cues filtered-out theories refer to theories that address the lack of nonverbal cues as being detrimental to online relationship development. Before Social Information Processing, many theorists believed that the lack of nonverbal cues would hinder the process of forming impressions and communicating accurately. They found that norms for interactions would be unclear via social networking sites. Moreover, these theorists believed that these communication blips would cause hostile communication and create a weak environment for relationship building.

Walther's research critiqued past methodological and conceptual problems with theoretical thinking. Walther states that often, online communication feels cold and impersonal, yet so can FtF. But, with this, Walther challenges past theorists by stating that, yes, online communication can be warm. Walther believes that the loss of nonverbal cues is not inherently fatal to defining our impression of others, unlike previous theorists believe. He subsequently worked toward establishing an interpersonal communication theory that more accurately reflected the intersection among communication, online environments, the self, and relationships. Two of these theoretical perspectives that influenced Walther's theory are social presence theory (SPT) and media richness theory (MRT). Walther believes that both SPT and MRT suffer from a limited understanding of relational life online. He argues that if interactants communicate enough times and with sufficient breadth and depth, nonverbal communication does not remain paramount in relationship development.

Forms of Self

One of the most important aspects of online interaction is the presentation of Self.

In 1987, Tory Higgins developed the self-discrepancy theory, and described three main forms of self: actual self, ideal self, and ought self. Actual self is the set of qualities and characteristics that a person actually possesses, the ideal self contains the attributes that a person hopes to someday achieve, and the ought self contains the attributes that a person believes he or she should possess. Higgins also explored the inconsistencies between them and found they are associated with emotional discomforts (e.g., fear, threat, restlessness).

Carl Rogers (1951) posited that there was another form of self, one that is not concerned with the future like the ideal and ought self. He called it the true self: a present form of self that exists psychologically and is not always fully expressed within social settings like the actual self.

Bargh, McKenna, and Fitzsimons (2002) conducted an experiment to test how the actual self and true self are expressed by people in face-to-face and computer-mediated interactions. Bargh et al. found that the actual self was more accessible following an initial face-to-face interaction, while the true self was more accessible following an initial interaction online. From the results of their study, the researchers concluded that people tend to like each other better when they meet online instead of meeting face-to-face.

These selves are manifested and are of particular importance in online conversations and relationships, allowing an individual to manage his or her online persona or identity.

Assumptions

Social information processing researchers like Joseph Walther are intrigued by how identities are managed online and how relationships are able to move from one of superficiality to one of intimacy. Three assumptions related to SIP theory are listed below:

The first assumption rests on the premise that computer-mediated communication is a unique opportunity to build interpersonal relationships with others. CMC systems are vast and almost always text-based. It has been identified as "an organic setting" and can be synchronous or asynchronous. CMC is clearly different from face-to-face communication, but it offers an unparalleled opportunity to meet someone whom you would usually never meet face-to-face (FtF). Moreover, relationships established via CMC systems also prompt emotions and feelings we find in all relationships. Finally, since CMC systems are available around the globe, the uniqueness of being able to cultivate online relationships with someone who is very far away cannot be ignored. Walther suggests that hyperpersonal communication can improve relationships between groups with a history of conflict. Walther notes that visual identifiers (like turbans or race) need not be visible during hyper personal interactions. Which in turn, may promote identification of similarities. However, Walther notes that online communication is not a magical cure for intergroup hostility.

  • Online communicators are motivated to form (favorable) impressions of themselves to others.

The second assumption alludes that impression management is essential in online relationships and participants undertake efforts to ensure particular impressions. On social networking sites (SNS) like FaceBook, people wish to provide an image of their ideal self. This is called "selective self presentation." During this process, people put together a profile that makes them appear more desirable, in turn, making them more attractive.

  • Online interpersonal relationships require extended time and more accumulated messages to develop equivalent levels of intimacy seen in FtF interpersonal relationships.

The third assumption of SIP states that different rates of information exchange and information accrual affect relationship development. SIP theory suggests that although the messages are verbal, communicators "adapt" to the restrictions of online medium, look for cues in the messages from others, and modify their language to the extent that the words compensate for the lack of nonverbal cues. This third assumption reflects Walther's contention that given sufficient time and accrual of messages, online relationships have the same capacity to become intimate as those that are established face-to-face. In addition, online comments are usually delivered rather quickly and efficiently. Further, these messages "build up" over time and provide online participants sufficient information from which to begin and develop interpersonal relationships.

Key concepts and features

Hyperpersonal perspective

Three phases of CMC

Social information processing theory describes computer-mediated communication as a process including three phases: impersonal, to interpersonal, and finally to hyperpersonal.

In the impersonal phase, due to the lack of nonverbal cues, CMC is believed to be more task-oriented than traditional face-to-face communication. Since the content is not influenced by social and emotional influence, it can avoid overly personal interpersonal interaction, promote rationality by providing essential discipline, facilitate the efficiency of group work through getting rid of peer pressure and hierarchy, and ultimately, create a more "democratic" atmosphere within organizations.

In the interpersonal phase, the nonverbal cues are lean and as the communication time increases, the exchange of social information increases accordingly. The anticipation of future communication may cause communicators to look for more information about the other. This mechanism leads to similar immediacy, similarity, composure, and receptivity as in FtF communication.

In the hyperpersonal phase, the sender uses the process of selective self-presentation. People who meet online have a better opportunity to make a favorable impression on the other. This is because the communicators can decide which information they would like to share about themselves by controlling their self-presentations online, giving them the power to disclose only their good traits. SIP has, at its core, impression management. Communication scholars define impression management as either a strategic or unconscious effort to influence another's perception. Much of the earlier research on impression management focused on FtF communication and the nuances with meeting someone. A person's self-image was viewed as important in relational development. Later applications of impression management were undertaken once online communication began.

Selective self-presentation is not as likely to occur in FtF communication as in CMC due to the ability to observe all the obvious traits in person. Walther notes that "selective self-presentation is a process that is probably very much involved in how people put together the profile." This is due to the fact the in CMC, people want to be found as attractive, so they present the best image of themselves. Whereas in FtF communication, undesirable traits can be more readily detected. The receivers may idealize the senders based on making attributions from available paralingual cues found in the message. This process is enhanced with asynchronous exchanges, letting both sender and receiver have ample time to consider the messages sent and received. In the absence of FtF contextual cues, the likelihood of over-attributing given information of the sender is increased, often creating an idealized image of the message sender. For example, over-attribution is also found in online dating. While reading a perspective date's profile, the reader is likely to see themselves as similar to one another and therefore become more interested than they originally would have been. Finally, the feedback process addresses the reciprocal influence of the senders and the receivers. They develop impressions and intimacy as a result of their interaction.

Four elements of hyperpersonal model

Hyperpersonal Model

The hyperpersonal perspective is more than saying that an online relationship is intimate. Walther examines hyperpersonal relationships as those that are more intimate than if partners were physically together. Walther, in a number of different scholarly venues, articulated its complexity and other scholars elucidate the four components he studied: senders; receivers; channel; and feedback. These four also constitute many of the models of communication.

  • Sender: Selective Self-Presentation

According to Walther, senders have the ability to present themselves in highly strategic and highly positive ways. This self-presentation is controlled and it serves as a foundation for how CMC users get to know one another. The fundamental underpinning of this component of the hyperpersonal perspective is affinity seeking. That is, senders provide information online that prompts affinity in others. Because, according to Griffin et al., senders are able to communicate their most desirable and attractive traits, accomplishments, and actions "without fear of contradiction from their physical appearance, their inconsistent actions, or the objections of third parties who know their dark side."

  • Receiver: Idealization of the Sender

At the core of this component in the hyperpersonal perspective is attribution. Attributions are those evaluations and judgements we make based on the actions or behaviors of others. The receiver tends to attribute and, according to the theory, may "overattribute", which means that the receiver is likely to think that a sender has more similarities than differences. With this, viewers of online dating profiles can over attribute the information presented on the profile, thus causing an "idealized image" of the owner. Further, a receiver may experience an over reliance on the minimal cues available online and forget that the relationship he or she has with a sender is based on words.

  • Channel Management

The asynchronous nature of CMC allows online participants to think about texts or emails before sending them. Further, prior to sending messages, one can rewrite them for clarity, sense, and relevance. Online asynchronous experiences allow for "optimal and desirable" communication, ensuring that the messages are of high quality. Walther contends that the more relational the affection or more desirable the other communicator is, the more editing in message composition.

  • Feedback

Walther interprets feedback as behavioral confirmation, which is a "reciprocal influence that partners exert". In communication theory, this is referred to as self-fulfilling prophecy. This prophecy essentially is a tendency for an individual's expectation of a target person to evoke a response from that person which, in turn, reaffirms the original prediction. Walther's hyperpersonal perspective acknowledges a feedback system this way: "When a receiver gets a selectively self-presented message and idealizes its source, that individual may respond in a way that reciprocates and reinforces the partially modified personae, reproducing, enhancing, and potentially exaggerating them". Because cues in an online environment are limited, the feedback that does occur is often exaggerated or magnified.

The four components – sender, receiver, channel, and feedback – suggest that the hyperpersonal perspective is a process which is ongoing and dynamic. Walther concludes that SIP is a "process" theory because both information and interpersonal meaning is accumulated over time, providing online partners an opportunity to establish a relationship.

Experiments

Two experiments were carried out by Walther and his colleagues from 1992 to 1994, focusing on channel management of computer-mediated communication. They are summarized below.

Around the time in 1992 when Walther produced and published his Social Information Processing theory, he and his colleagues conducted an experiment, examining the effects of time and communication channel – asynchronous computer conferencing versus face-to-face meetings – on relational communication in groups. Prior research on the relational aspects of computer-mediated communication has suggested strong depersonalizing effects of the medium due to the absence of nonverbal cues. Past research is criticized for failing to incorporate temporal and developmental perspectives on information processing and relational development. In this study, data were collected from 96 subjects assigned to computer conferencing or face-to-face zero-history groups of 3, who completed three tasks over several weeks' time. Results showed that computer-mediated groups increased in several relational dimensions to more positive levels and that these subsequent levels approximated those of face-to-face groups. Boundaries on the predominant theories of computer-mediated communication are recommended, and principles from uncertainty reduction and social penetration are discussed.

Later, Walther and his colleagues did follow-up research. Previous research on the interpersonal tone of computer-mediated communication shows different effects using longitudinal computer-mediated groups than are found in research using one-shot groups, even before the developmental aspects associated with time can accrue. One factor distinguishing these approaches is the anticipation of future interaction experienced by longitudinal groups. This research reports an experiment assessing the relative effects of anticipated future interaction and different communication media (computer-mediated versus face-to-face communication) on the communication of relational intimacy and composure. Asynchronous and synchronous computer conferencing and face-to-face groups were examined. Results show that the assignment of long-term versus short-term partnerships has a larger impact on anticipated future interaction reported by computer-mediated than face-to-face partners. Evidence also shows that anticipation is a more potent predictor of several relational communication dimensions than communication condition. Implications for theory and practice are identified.

Evaluation of SIP: Intimacy

Several theorists have explored the differences in intimacy developed through CMC versus face-to-face communication. Walther is convinced that the length of time that CMC users have to send their messages is the key factor that determines whether their messages can achieve the same level of intimacy that others develop face-to-face. Over an extended period, the issue is not the amount of social information that can be conveyed online; rather, it is the rate at which the information builds up. Any message spoken in person will take at least four times longer to communicate through CMC. When comparing 10 minutes of face-to-face conversation with 40 minutes of CMC, there was no difference in partner affinity between the two modes. Anticipated future interaction is a way of extending physiological time, which gives the likelihood of future interaction and motivates CMC users to develop a relationship. Relational messages provide interactants with information about the nature of the relationship, the interactants' status in the relationship, and the social context within which the interaction occurs.

The "shadow of the future" motivates people to encounter others on a more personal level. A chronemic cue is a type of nonverbal cue not filtered out of CMC and indicates how one perceives, uses, or responds to issues of time. Unlike tone of voice, interpersonal distance, or gestures, time is the one nonverbal cue that cannot be filtered out of CMC. For example, a person can send a text message at a certain time of the day and when a response is received he or she can gauge how much time elapsed between messages. Social information processing theory says that a prompt reply signals deference and liking in a new relationship or business context. A delayed response may indicate receptivity and more liking in an intimate relationship; partners who are comfortable with each other do not need to reply as quickly.

Meanwhile, Walther, with his colleagues, conducted another investigation which examined how computer-mediated communication (CMC) partners exchange personal information in initial interactions, focusing on the effects of communication channels on self-disclosure, question-asking, and uncertainty reduction. Unacquainted individuals (N = 158) met either face-to-face or via CMC. Computer-mediated interactants exhibited a greater proportion of more direct and intimate uncertainty reduction behaviors than unmediated participants did, and demonstrated significantly greater gains in attributional confidence over the course of the conversations. The use of direct strategies by mediated interactants resulted in judgments of greater conversational effectiveness by partners.

Others, such as Dr. Kevin B. Wright, examined the difference in developing and maintaining relationships both exclusively and primarily online. Specifically, Wright has found the effectiveness of "openness and positivity" in online communication versus avoidance in offline relationships.

Warranting

Origin

Walther and Parks noticed that people often meet offline after having first met online. Sometimes these experiences are positive, and other times negative. They are dissatisfied with existing theories' ability to explain these phenomena. To fill in the theoretical gap, Walther and Parks adopt the original concept of warranting presented by Stone, describing connections between one's self and self-presentation as a continuum rather than a binary, moderated by anonymity. They suggested that the potential for anonymity resulted in the potential for a discrepancy along this continuum. The greater this potential discrepancy, the more compelling it is for observers to be skeptical of information provided by the individual about the self. Warrants, as described by Walther and Parks, are perceived reliable cues that observers use to gauge how someone's true identity matches that which is presented online.

According to Walther, "Warranting pertains to the perceived legitimacy and validity of information about another person that one may receive or observe online." As also indicated by researchers DeAndrea and Carpenter, warranting value is the degree to which a target is perceived to have shaped information about him or herself to appear a certain way. Over the years, individuals have come to learn a lot about each other through online discussion groups or online role-playing games. Many have also started to gain an understanding of another person through "personal homepages and other forms of online interaction and self-presentation, including online dating sites." However, with the introduction of many online social media sites such as Facebook, Twitter, and LinkedIn, there are many opportunities for people to interact using CMC. As such, there are many factors – photographs, videos, and the ability to build your own profile – that set social media apart from the text-only CMC that Walther originally studied. For example, if a person describes him or herself as a quiet, reserved person but friends add pictures of him or her out at a bar with a large group of people, these two ideas will contradict each other. How the person processes this contradiction is the main idea of Walther's warranting theory.

"If the information we're reading has warranting value, then it gives us reason to believe it is true." This value is defined as the extent to which the cue is perceived to be unaltered by the target. Warrants that are very difficult to manipulate by the user are considered high in warranting value. They are more likely to be accepted as truth. An example of this is information added to your profile by others because the owner cannot easily change it (Others-generated warrants). Partial warranting is another example. It is information that, though provided by the user, contains easily verifiable facts. Numerical information, such as height, weight, age, or address constitutes as partial warranting, as these figures are easily checked and provide little room for gray area. Low warrant information is easily manipulated and therefore less believable. It is much more questionable in terms of accuracy (Walther & Parks, 2002). An example of this is information self-reported on personal profile pages. These can range from interests and hobbies, to other personal details (also known as constraining information, which is not easily verified but restricts identity).

Experiment

Walther, Van Der Heide, Kim, Westerman, and Tong (2008), wanted to explore if the attractiveness of friends, as well as what these friends said on an individual's profile, had an effect on social attraction. They investigated the topic by assigning random participants to view fake Facebook pages.

This experiment had two phases. In the first phase, researchers displayed two comments from friends of a profile with neutral content. The small profile pictures of commenting friends were either attractive or unattractive, and the comments suggested either socially desirable or socially undesirable behaviors. It was found that social attractiveness was positively correlated with the physical attractiveness of commenting friends (Walther et al., 2008). This indicates that the simple observable presence of others in one's social network may be enough to make social judgments. In the second phase, researchers tested the effects of self-generated information against information generated by others. Walther et al. (2009) compared subjects reactions to fake Facebook profiles and their judgments of extroversion and introversion. Profiles contained either self-generated information suggesting the profile owner was introverted or extroverted, and others-generated statements suggesting the owner was introverted or extroverted. Information suggesting introversion was considered negative while information suggestion extroversion was considered to be positive. Walther et al. (2009) found that while others-generated statements do indeed have an effect on observer judgments, the effect did not override self-generated information or negativity effects.

His experiments confirmed that people value high warrant information. It found that credibility levels and attractiveness were swayed by comments made on the profile by people other than its owner. It also confirmed his beliefs by comparing high and low warrant information and finding that friends' remarks were valued higher than the owner's claims in regards to physical attractiveness and outgoingness. These studies have found that, unlike with email, communication comes from both the owner and other users of social media and viewers do not give these two opinions equal value. This is identified in the fact that friends' comments often override the profile owner's claims when forming impressions of the profile owner.

Synchronous and asynchronous communication

Synchronous communication refers to interactions that occur in real-time, where participants in a conversation are actively communicating while online at the same time. Examples of online synchronous communication would be text messages and other instant messaging platforms, as well as internet telephony, such as FaceTime and Skype. Asynchronous communication, on the other hand, occurs when conversation participants are not online at the same time, and messages are left for the other to receive. Examples of online asynchronous communication include voicemails, emails, blogs, and social media sites.

A 2011 study in Finland suggested that it is synchronicity, not online social use in general, that separates generations in the Digital Age. Taipale concluded that synchronous modes (e.g. instant messaging and Internet calls) are clearly generation differentiated practices, comparing with asynchronous mode (e.g. social networking sites, blogs, online discussion forums). And they are more frequently used by the second digital generation than the first digital generation (1 DG) and digital immigrants (DI). Taipale then explained these results in terms of privacy and communicative efficacy. The synchronous online communication provide more privacy as well as an instant and abundant channel for effective communication, which are features especially appreciated by the youngest user generation.

Burgoon, Chen, and Twitchell (2010) also conducted an experiment to test how synchronicity affects online interactions. They had their participants conduct team-oriented tasks, and used different methods of communication to observe how people perceived their fellow team members. They proposed that synchronicity affects interactivity, and the results of the experiment supported their hypothesis. They observed that synchronous forms of communications allow for increased mental and behavioral engagement between parties, allowing participants to feel a stronger sense of connection, presence, identification, and social awareness in the conversation.

Research and applications

Social information processing theory has been used to study online relationships in a variety of contexts. Since the late 1990s, the Internet has increased the amount of totally-mediated interactions making the possibility of developing and sustaining entire relationships online more possible.

Application in online dating

Some early studies looked at e-mail discussion groups while more contemporary research has placed a great deal of attention on social media networks such as Facebook and online dating sites. These situations are significant to observing SIP and the hyperpersonal perspective in action.

In relation to romantic relationships, several studies and subsequent theories have stemmed from SIP, combining it with theories such as Social Penetration Theory (SPT) or Relational Dialectics to further examine how modern day relationships are formed and sustained. Scholars Nicole Ellison, Rebecca Heino, and Jennifer Gibbs conducted such a study and formed their own theory in their article "Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment" which utilized both SIP and SPT to examine the development of modern relationships from online acquaintances to intimate partners.

Scholars James Farrer and Jeff Gavin from Sophia University in Japan examined the online dating process and dating relationship development to test the SIP theory. This study examines the experiences of past and present members of a popular Japanese online dating site in order to explore whether social information processing theory is applicable to Japanese online dating interactions, and how and to what extent Japanese daters overcome the limitations of CMC through the use of contextual and other cues. 36 current members and 27 former members of Match.com Japan completed an online survey. Using issue-based procedures for grounded theory analysis, they found strong support for SIP. Japanese online daters adapt their efforts to present and acquire social information using the cues that the online dating platform provides, although many of these cues are specific to Japanese social context.

In 2011, scholar Daria Heinemann analyzed the effects of SIP in the 1998 movie You've Got Mail, and developed an activity to foster the teaching of SIP to students. Throughout the movie, the two main characters virtually meet in an online chat room, and end up falling in love throughout all of their communication, which leads them to adapt their communication style and presentation in real life. For this activity, Daria suggests watching two specific scenes, 2 and 21, which focus on the introduction of the online relationship between the two characters, and also demonstrate the hyperpersonal perspective of this theory. Daria asked students to compare and contrast these two scenes to see the implication and representation of SIP. Following the viewing of these two scenes, she suggests some debriefing questions to help further understand and analyze SIP in the context of this movie.

Besides online dating, SIP can also be related to detachment and extramarital attachment unconsciously, which is an area that Zackery A. Carter investigated. Carter claims that casual communications through Facebook have the potential to lead to a more emotional/sexual based relationship regardless of their current status. If people have a long tiring day and utilize Facebook to relax and unwind at the end of the day, they may present themselves in an entirely different way, along with being more open and invoking self-disclosure. Talking to someone online can be an entirely different feeling than talking to someone in person after a long day, which is what Carter was looking to demonstrate with this study.

Application in online marketing

In business contexts, social information processing has been used to study virtual teams as well as the ways viral marketers influence the adoption of products and services through the Internet.

Mani R. Subramani and Balaji Rajagopalan pay special attention to the SIP applied to real-world online marketing and promotion activities. The background which stimulate their academic interests is that online social networks are increasingly being recognized as an important source of information influencing the adoption and use of products and services. While the potential of viral marketing to efficiently reach out to a broad set of potential users is attracting considerable attention, the value of this approach is also being questioned. SIP theory provides a useful lens to examine the interpersonal influence processes that are the hallmark of viral marketing, since it views the social network as an important source of information and cues for behavior and action for individuals. Prior studies examining the diffusion of innovations and the transmission of ideas in social networks have viewed the interpersonal influence as occurring largely from face-to-face interactions. However, interpersonal influence in viral marketing occurs in computer-mediated settings and is significantly different from that occurring in conventional contexts in several ways.

There needs to be a greater understanding of the contexts in which this strategy works and the characteristics of products and services for which it is most effective. What is missing is an analysis of viral marketing that highlights systematic patterns in the nature of knowledge-sharing and persuasion by influencers and responses by recipients in online social networks. To this end, they propose an organizing framework for viral marketing that draws on prior theory and highlights different behavioral mechanisms underlying knowledge-sharing, influence, and compliance in online social networks.

Application in online education

SIP has also been used to study learning in entirely online classes examining the ways that students develop relationships with the instructor and with each other. Dip Nandi, Margaret Hamilton, and James Harland from RMIT University did research on asynchronous discussion forums in fully online courses. Their study focuses on the online discussion process between the students and the instructors, as both senders and receivers, through the CMC channel with the asynchronous nature.

Fully online courses are becoming progressively more popular because of their "anytime anywhere" learning flexibility. One of the ways students interact with each other and with the instructors within fully online learning environments is via asynchronous discussion forums. However, student engagement in online discussion forums does not always take place automatically and there is a lack of clarity about the ideal role of the instructors in them. In their research, Nandi and his colleges report on the quality of discussion in fully online courses through analysis of discussion forum communication. They conducted the research on two large fully online subjects for computing students over two consecutive semesters and used a grounded theoretic approach for data analysis. The results reveal what students and instructors consider as quality interaction in fully online courses. The researchers also propose two frameworks based on our findings that can be used to ensure effective online interaction.

Yonty Friesem discusses the use of SIP within the book Emotions, Technology and Behaviors, specifically in the chapter titled "Empathy for the Digital Age: Using Video Production to Enhance Social, Emotional, and Cognitive Skills". Throughout this chapter, Yonty discusses using filmmaking to assist in learning and teaching in an academic setting. He talks about the richness of the digital media that is present within SIP and how the medium that is used can help people to demonstrate their emotions, which can be amplified through the use of video production as it provides a completely different perspective and format.

Application in child development

In recent years, SIP has also been used to examine the development of aggressive behavior in children. Theories of aggressive behavior and ethological observations of animals and children suggest the existence of distinct forms of reactive (hostile) and proactive (instrumental) aggression. Toward the validation of this distinction, groups of reactive aggressive, proactive aggressive, and nonaggressive children were identified. Social information-processing patterns were assessed in these groups by presenting hypothetical vignettes to subjects.

The reason why some children develop aggressive behavior can be traced back to how these particular children deal with different social cues. Some children participate in something known as social withdrawal, meaning that they avoid involvement or are not involved in social or group activities. This is due to either rejection-aggression or rejection-withdrawal. In rejection-aggression, the child is rejected from a peer group due to their aggressive behavior. Rejection-withdrawal is when the child rejects the peer group and separates themselves from them.

Kenneth A. Dodge and Nicki R. Crick from Vanderbilt University did a research on the social information bases of aggressive behavior in children. In their study, the ways that basic theories and findings in cognitive and social psychology (including attribution, decision-making, and information-processing theories) have been applied to the study of aggressive behavior problems in children are described. Following an overview of each of these theories, a social information-processing model of children's aggressive behavior is outlined. According to this model, a child's behavioral response to a problematic social stimulus is a function of five steps of processing: encoding of social cues, interpretation of social cues, response search, response evaluation, and enactment. Skillful processing at each step is hypothesized to lead to competent performance within a situation, whereas biased or deficient processing is hypothesized to lead to deviant social behavior. Empirical studies are described in which children's patterns of processing have been found to predict individual differences in their aggressive behavior. The implications of this body of work for empirically based interventions aimed at reducing children's aggressive behavior are discussed.

Application in leadership

SIP has become more prominent in today's society with the addition of using computers for online communication. This is also apparent in the area of leadership and remote work. Paul E. Madlock from Texas A&M International University has conducted a variety of researches in organizational communication, where he also implemented the ideas of Walther into some of his work. In his article titled "The Influence of Supervisors' Leadership Style on Telecommuters", he talks about the most effective style of leadership in today's Digital Age, which is focused on the use of technology. SIP can be related to the style and content of the message, as well as the timing that the message is presented, whether that be synchronously or asynchronously. In this study, Madlock got organizations that utilize remote workers to fill out a survey based on their job satisfaction and the satisfaction that they feel when leadership is communicated through a computer, whether that be something like Skype, Instant Messaging, cell phones, email and via voice. Employees were able to develop a better connection with their leadership team if it was task orientated and the information was presented in a realistic format that represented who they were, as opposed to a fake personality.

Application in social media

Social Media is a huge platform for SIP to happen, as a lot of people spend a lot of time talking to other individuals via social media. This is predominantly in a personal based setting, but it can be used in other settings as well such as journalism.

Blogs have great potential to display attributes of SIP, as it is purely a non-verbal way of communicating. Yanru Guo and Dion Hoe-Lian Goh conducted a content analysis on posting on microblogs in China, where individuals discussed having an STI, and more specifically having AIDS. They were attempting to display the transformation of messages over time and how intimate relationships were developed through the use of the blog. They compared over 1250 messages at the beginning of their time period to over 900 messages at the end of the time period, to see the difference between the depth of communication each user provided. They found that the level of details shared and intimacy between individuals increased between the two time periods, demonstrating the SIP and how it can be utilized to develop a relationship.

Rosie Mi Jahng and Jeremy Littau conducted an experiment on how people gather their information from journalists on social media, specifically related to Twitter. Some of the information that they discussed was the responsiveness of a journalist on their Twitter page, and the information that they provided on their bio page, as that can instantly give a sense of connectedness and reputability. Their study involved around 150 participants looking at a variety of fake Twitter accounts representing journalists who provided different levels of information and news within their tweets. They found out that the more a journalist posted and also responded to people's tweets, the more trust and reputation they built up, increasing the level of connection and relationship present.

SIP can also be applied to law enforcement and how they utilize social media strategically to present a good public image. Angela Coonce discusses a variety of different communication theories, including SIP, in her thesis on this topic. SIP provides the option for law enforcement to be able to develop a reputable and healthy relationship with the public in addition to the opinions and structure that they present in a non computer setting.

Academic integration

While the theory revolves around the basis of interpersonal interaction from a socio-psychological perspective, communication scholars and academics use a positivistic (or empirical) approach to knowing in their study of SIP theory, meaning they rely heavily on numbers and data sets when striving to reach conclusions.

Criticisms

Despite the fact that social information processing theory offers a more optimistic perspective through which to perceive of and analyze online interactions, the theory is not without its criticisms. Even though Walther proposed that users of computer-mediated communication (CMC) have the same interpersonal needs met as those communicating face-to-face (FtF), he proposed that the lack of visual cues inherent in CMC are disadvantages to be overcome over time. Thus, more time is needed for interactants to get to know one another, although he maintains that the same intimacy can be reached, just over a longer amount of time. In their research on social cues and impression formation in CMC, Martin Tanis and Tom Postmes found that when initial impressions in CMC are negative, it is questionable and not guaranteed that people will pursue future interaction which negates the idea that more personal and positive relationships will develop over time in CMC relationships.

Many of Walther's initial hypotheses relied on the assumption that positive social behaviors would be greater in face-to-face interactions than those in CMC. In a 1995 study, Walther used this hypothesis but added that any initial differences in socialness between the two media would disappear in time. Walther was surprised to find that his results turned out to be contrary to this prediction. The results showed that, regardless of time-scale, CMC groups were rated higher in most measures of relational communication than those participating in the FtF condition.

Robert Tokunaga has presented a cultural value flaw in the SIP theory. An additional support for this claim is that there is research on intercultural communication that suggests the amount of exchange of self-disclosures in CMC is shaped by cultural values. Also, Tokunaga's study found that individualistic cultural values were able to fit inside the SIP theory while collectivist cultural values did not.

Some originally argued that the scope of SIP Theory was too broad, since the realm of CMC is so expansive. However, the theory has evolved and been refined over years of research, and has developed more specificity within the discussions of online relationships, such as the topics of warranting and hyperpersonal perspectives.

Another area of SIP that has received some criticism relates to its testability. Walther has been a self-reflective critic of his own theory. First, Walther acknowledges that SIP has not fully acknowledged nor clarified the role of the issue of time in CMC relationships. Second, in discussing the hyperpersonal perspective, Walther admits that not all of the theoretical components of his hyperpersonal approach have been researched sufficiently. Third, in examining the warranting hypothesis, Walther, Brandon Van Der Heide, Lauren Hamel, & Hillary Shulman accept the fact that high warranting value may exist on those matters that have strong social desirability. For example, physical attractiveness is a highly desirable trait in the United States, making it socially desirable. So, as Walther accepts, online communicators would seek corroboration for those qualities that society deems important or desirable. Whether or not other less socially desirable qualities are prone to warranting overtures is not fully explained.

To summarize, social information processing theory arrived in the communication discipline at the time that the rest of the research world was starting to examine the Internet for its possible influence on interpersonal communication and human relationships. Thus, Joseph Walther is somewhat of a scholarly prophet, forecasting the importance of looking at online relationships in the early 1990s. Although a few criticisms emerge in SIP, people cannot ignore the fact that Walther's theory remains a pivotal framework to consider as we envision future relationship development in an uncertain technological time.

New technologies

The label 'social media' has been attached to a quickly growing number of Web sites whose content is primarily user-driven. These communities are large-scale examples of SIP. Navigating the 'social' world of information online is largely a product of interpersonal connections online, and has prompted the creation of aggregating, or collaborative sources, to help assist collective groups of people sort through information. Learning about others through the concept of "seamless sharing" opens another world for SIP. Some computer tools that facilitate this process are:

  • Authoring tools: e.g. blogs
  • Collaboration tools: e.g. Misplaced Pages
  • Social networking: Facebook; Twitter; Instagram; SnapChat
  • Collaborative filtering: Reddit; the Amazon Products Recommendation System; Yahoo Answer!

The process of learning from and connecting with others has not changed, but is instead manifested on the Internet. There are many different opinions regarding the value of social media interactions. These resources allow for people to connect and develop relationships using methods alternative to the traditional FtF-exclusive past, thus making CMC more prevalent amongst social media users.

See also

References

  1. Salancik, Gerald R.; Pfeffer, Jeffrey (1978). "A Social Information Processing Approach to Job Attitudes and Task Design". Administrative Science Quarterly. 23 (2): 224–253. doi:10.2307/2392563. ISSN 0001-8392. JSTOR 2392563. PMID 10307892.
  2. ^ Walther, Joseph B. (1992). "Interpersonal effects in computer-mediated interaction: A relational perspective". Communication Research. 19 (1): 52–90. doi:10.1177/009365092019001003. S2CID 145557658.
  3. ^ Jarvenpaa, Sirkka L.; Leidner, Dorothy E. (1998-06-01). "Communication and Trust in Global Virtual Teams". Journal of Computer-Mediated Communication. 3 (4): 0. doi:10.1111/j.1083-6101.1998.tb00080.x. ISSN 1083-6101. S2CID 14449355.
  4. Salancik, Gerald R.; Pfeffer, Jeffrey (June 1978). "A Social Information Processing Approach to Job Attitudes and Task Design". Administrative Science Quarterly. 23 (2): 224–53. doi:10.2307/2392563. ISSN 0001-8392. JSTOR 2392563. PMID 10307892.
  5. Bhave, Devasheesh P.; Kramer, Amit; Glomb, Theresa M. (January 2010). "Work–family conflict in work groups: Social information processing, support, and demographic dissimilarity". Journal of Applied Psychology. 95 (1): 145–158. doi:10.1037/a0017885. ISSN 1939-1854. PMID 20085412. S2CID 24224971.
  6. ^ Griffin, Em. "Social Information Processing Theory of Joseph Walther". A First Look at Communication Theory 8th Ed. McGraw Hill. Retrieved 3 April 2012.
  7. Brody, Nicholas; Caldwell, Lesley (2017-11-21). "Cues filtered in, cues filtered out, cues cute, and cues grotesque: Teaching mediated communication with emoji Pictionary". Communication Teacher. 33 (2): 127–131. doi:10.1080/17404622.2017.1401730. ISSN 1740-4622.
  8. Daft, Richard L.; Lengel, Robert H.; Trevino, Linda Klebe (September 1987). "Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems". MIS Quarterly. 11 (3): 355. doi:10.2307/248682. ISSN 0276-7783. JSTOR 248682.
  9. ^ Griffin, Em; Ledbetter, Andrew; Sparks, Glenn (2023). A First Look At Communication Theory (11th ed.). McGraw Hill. p. 127. ISBN 978-1-265-20924-7.
  10. ^ West, Richard (2013). Introducing Communication Theory: Analysis and Application. McGraw-Hill. pp. 232, 233. ISBN 978-0073534282.
  11. ^ Bargh, John A.; McKenna, Katelyn Y. A.; Fitzsimons, Grainne M. (2002-01-01). "Can You See the Real Me? Activation and Expression of the "True Self" on the Internet". Journal of Social Issues. 58 (1): 33–48. doi:10.1111/1540-4560.00247. ISSN 1540-4560. S2CID 8635090.
  12. Higgins, E. Tory (1989), "Self-Discrepancy Theory: What Patterns of Self-Beliefs Cause People to Suffer?", Advances in Experimental Social Psychology Volume 22, vol. 22, Elsevier, pp. 93–136, doi:10.1016/s0065-2601(08)60306-8, ISBN 978-0-12-015222-3
  13. Green-Hamann, Sara; Campbell Eichhorn, Kristen; Sherblom, John C. (July 2011). "An Exploration of Why People Participate in Second Life Social Support Groups". Journal of Computer-Mediated Communication. 16 (4): 465–491. doi:10.1111/j.1083-6101.2011.01543.x. ISSN 1083-6101.
  14. Utz, Sonja; Beukeboom, Camiel J. (July 2011). "The Role of Social Network Sites in Romantic Relationships: Effects on Jealousy and Relationship Happiness". Journal of Computer-Mediated Communication. 16 (4): 511–527. doi:10.1111/j.1083-6101.2011.01552.x. ISSN 1083-6101.
  15. Walther, Joseph B. (December 2004). "Language and Communication Technology". Journal of Language and Social Psychology. 23 (4): 384–396. doi:10.1177/0261927x04269584. ISSN 0261-927X.
  16. Walther, Joseph B. (August 2009). "Computer-Mediated Communication and Virtual Groups: Applications to Interethnic Conflict". Journal of Applied Communication Research. 37 (3): 225–238. doi:10.1080/00909880903025937. ISSN 0090-9882.
  17. Walther, Joseph B.; Van Der Heide, Brandon; Kim, Sang-Yeon; Westerman, David; Tong, Stephanie Tom (2008-01-04). "The Role of Friends' Appearance and Behavior on Evaluations of Individuals on Facebook: Are We Known by the Company We Keep?". Human Communication Research. 34 (1): 28–49. doi:10.1111/j.1468-2958.2007.00312.x. ISSN 0360-3989.
  18. ^ WALTHER, JOSEPH B. (February 1996). "Computer-Mediated Communication". Communication Research. 23 (1): 3–43. doi:10.1177/009365096023001001. ISSN 0093-6502. S2CID 152119884.
  19. Walther, J. B. (1996). "Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction". Communication Research. 23: 3–43. doi:10.1177/009365096023001001. S2CID 152119884.
  20. O'Sullivan, B (2000). "What you don't know won't hurt me". Human Communication Research. 26 (3): 403–431. doi:10.1093/hcr/26.3.403.
  21. Hellmann, Andreas; Ang, Lawrence; Sood, Suresh (March 2020). "Towards a conceptual framework for analysing impression management during face-to-face communication". Journal of Behavioral and Experimental Finance. 25: 100265. doi:10.1016/j.jbef.2020.100265. ISSN 2214-6350. S2CID 214421316.
  22. Rosenberg, Jenny; Egbert, Nichole (October 2011). "Online Impression Management: Personality Traits and Concerns for Secondary Goals as Predictors of Self-Presentation Tactics on Facebook". Journal of Computer-Mediated Communication. 17 (1): 1–18. doi:10.1111/j.1083-6101.2011.01560.x. ISSN 1083-6101.
  23. Presentation and Perception on Online Dating Sites, retrieved 2023-11-14
  24. Tong, Stephanie Tom; Walther, Joseph B. (2012-11-18). "The Confirmation and Disconfirmation of Expectancies in Computer-Mediated Communication". Communication Research. 42 (2): 186–212. doi:10.1177/0093650212466257. ISSN 0093-6502. S2CID 30808409.
  25. ^ Walther, Joseph B.; Burgoon, Judee K. (1992-09-01). "Relational Communication in Computer-Mediated Interaction". Human Communication Research. 19 (1): 50. doi:10.1111/j.1468-2958.1992.tb00295.x. hdl:10150/185294. ISSN 1468-2958.
  26. Walther, Joseph B. (1994-06-01). "Anticipated Ongoing Interaction Versus Channel Effects on Relational Communication in Computer-Mediated Interaction". Human Communication Research. 20 (4): 473–501. doi:10.1111/j.1468-2958.1994.tb00332.x. ISSN 1468-2958.
  27. Walther, Joseph B. (April 1995). "Relational Aspects of Computer-Mediated Communication: Experimental Observations over Time". Organization Science. 6 (2): 186–203. doi:10.1287/orsc.6.2.186. ISSN 1047-7039.
  28. Jones, Susanne (March 2009). "Relational Messages". Encyclopedia of Human Relationships. 3. doi:10.4135/9781412958479.n437. ISBN 9781412958462. Archived from the original on February 1, 2013. Retrieved 3 April 2012.{{cite journal}}: CS1 maint: unfit URL (link)
  29. GRIFFIN, E. M. (2009). A first look at communication theory. (seventh ed., p. 486). New York, NY: McGraw-Hill Companies, Inc.
  30. Tidwell, Lisa Collins; Walther, Joseph B. (2002-07-01). "Computer-Mediated Communication Effects on Disclosure, Impressions, and Interpersonal Evaluations: Getting to Know One Another a Bit at a Time". Human Communication Research. 28 (3): 317–348. doi:10.1111/j.1468-2958.2002.tb00811.x. ISSN 1468-2958. S2CID 2472920.
  31. ^ Wright, Kevin B. (June 2004). "On-line relational maintenance strategies and perceptions of partners within exclusively internet-based and primarily internet-based relationships". Communication Studies. 55 (2): 239–253. doi:10.1080/10510970409388617. S2CID 145505879.
  32. Walther, Joseph B., and Eun-Ju Lee. "23. Computer-mediated Communication." Interpersonal Communication (2014): n. pag. Web
  33. Parks, M. R.; Roberts, L. (1998). "Making MOOsic: The development of personal relationships on line and a comparison to their off-line counterparts". Journal of Social and Personal Relationships. 15 (4): 517–537. doi:10.1177/0265407598154005. S2CID 145209206.
  34. Parks, M. R.; Floyd, K. (1996). "Making friends in cyberspace". Journal of Communication. 46: 80–97. doi:10.1111/j.1460-2466.1996.tb01462.x.
  35. Ellison, N. B.; Heino, R. D.; Gibbs, J. L. (2006). "Managing impressions online: Self-presentation processes in the online dating environment". Journal of Computer-Mediated Communication. 11 (2): 2. doi:10.1111/j.1083-6101.2006.00020.x.
  36. Walther, Joseph (January 2008). "The Role of Friends' Appearance and Behavior on Evaluations of Individuals on Facebook: Are We Known by the Company We Keep?". Human Communication Research. 34 (1): 28–49. doi:10.1111/j.1468-2958.2007.00312.x. S2CID 840025.
  37. Walther, Joseph B.; Van Der Heide, Brandon; Hamel, Lauren M.; Shulman, Hillary C. (2009-01-22). "Self-Generated Versus Other-Generated Statements and Impressions in Computer-Mediated Communication". Communication Research. 36 (2): 229–253. doi:10.1177/0093650208330251. ISSN 0093-6502.
  38. ^ Taipale, Sakari (2016-01-02). "Synchronicity matters: defining the characteristics of digital generations". Information, Communication & Society. 19 (1): 80–94. doi:10.1080/1369118x.2015.1093528. ISSN 1369-118X. S2CID 55796473.
  39. Burgoon, Judee K.; Chen, Fang; Twitchell, Douglas P. (2010-07-01). "Deception and its Detection Under Synchronous and Asynchronous Computer-Mediated Communication". Group Decision and Negotiation. 19 (4): 345–366. doi:10.1007/s10726-009-9168-8. ISSN 0926-2644. S2CID 144634351.
  40. Parks, Malcolm R.; Floyd, Kory (1996-03-01). "Making Friends in Cyberspace". Journal of Computer-Mediated Communication. 1 (4): 0. doi:10.1111/j.1083-6101.1996.tb00176.x. ISSN 1083-6101. S2CID 46700250.
  41. Walther, Joseph B.; Van Der Heide, Brandon; Kim, Sang-Yeon; Westerman, David; Tong, Stephanie Tom (2008-01-01). "The Role of Friends' Appearance and Behavior on Evaluations of Individuals on Facebook: Are We Known by the Company We Keep?". Human Communication Research. 34 (1): 28–49. doi:10.1111/j.1468-2958.2007.00312.x. ISSN 1468-2958. S2CID 840025.
  42. Tong, Stephanie Tom; Van Der Heide, Brandon; Langwell, Lindsey; Walther, Joseph B. (2008-04-01). "Too Much of a Good Thing? The Relationship Between Number of Friends and Interpersonal Impressions on Facebook". Journal of Computer-Mediated Communication. 13 (3): 531–549. doi:10.1111/j.1083-6101.2008.00409.x. ISSN 1083-6101.
  43. Ellison, Nicole; Heino, Rebecca; Gibbs, Jennifer (2006-01-01). "Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment". Journal of Computer-Mediated Communication. 11 (2): 415–441. doi:10.1111/j.1083-6101.2006.00020.x. ISSN 1083-6101.
  44. Madill, Rene (2010). Self-presentation in the online dating environment (Thesis). University of Northern British Columbia. doi:10.24124/2010/bpgub645.
  45. Peng, Kun (2020-03-25). "To be attractive or to be authentic? How two competing motivations influence self-presentation in online dating". Internet Research. 30 (4): 1143–1165. doi:10.1108/intr-03-2019-0095. ISSN 1066-2243. S2CID 216519915.
  46. Ellison, Nicole (2006). "Managing Impressions Online: Self-Presentation Processes in the Online Dating Environment". Journal of Computer-Mediated Communication. 11 (2): 415–441. doi:10.1111/j.1083-6101.2006.00020.x.
  47. Farrer, James; Gavin, Jeff (2009). "Online Dating in Japan: A Test of Social Information Processing Theory". CyberPsychology & Behavior. 12 (4): 407–412. doi:10.1089/cpb.2009.0069. PMID 19630584. S2CID 19759956.
  48. Heinemann, Daria (October 2011). "Using You've Got Mail to Teach Social Information Processing Theory and Hyperpersonal Perspective in Online Interactions". Communication Teacher. 25 (4): 183–188. doi:10.1080/17404622.2011.601720. S2CID 54649064.
  49. Carter, Zackery, A (Spring 2019). "Facebook Cyberinfidelity and the Online Disinhibition Effect: The Phenomenon of Unconscious Marital Detachment and Extramarital Attachment". Journal of Psychology and Christianity. 38 (1). ProQuest 2268547163.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  50. Chudoba, Katherine; Maznevski, Martha (2000). "Bridging Space over Time: Global Virtual Team Dynamics and Effectiveness". Organization Science. 11 (5): 473–492. CiteSeerX 10.1.1.682.8612. doi:10.1287/orsc.11.5.473.15200. S2CID 13441261.
  51. Subramani, Mani R.; Rajagopalan, Balaji (1 December 2003). "Knowledge-sharing and influence in online social networks via viral marketing". Communications of the ACM. 46 (12): 300. CiteSeerX 10.1.1.460.6186. doi:10.1145/953460.953514. S2CID 10124096.
  52. ^ Rajagopalan, Mani R Subramani, Balaji. "Knowledge-sharing and influence in online social networks via viral marketing | December 2003 | Communications of the ACM". cacm.acm.org. Retrieved 2016-11-20.{{cite web}}: CS1 maint: multiple names: authors list (link)
  53. "How viral marketing can lead to virtual pestilence". Marketing Week. 23 (16): 17. 2000. ProQuest 228111234.
  54. Wellman, Barry (1996). "Computer networks as social networks: Collaborative work, telework, and virtual community". Annual Review of Sociology. 22 (1): 213–238. doi:10.1146/annurev.soc.22.1.213. S2CID 14855053. ProQuest 199573392.
  55. Bansal, Harvir S.; Voyer, Peter A. (2000-11-01). "Word-of-Mouth Processes within a Services Purchase Decision Context" (PDF). Journal of Service Research. 3 (2): 166–177. doi:10.1177/109467050032005. ISSN 1094-6705. S2CID 145267667.
  56. Arbaugh, J. B. (2000-02-01). "Virtual Classroom Characteristics and Student Satisfaction with Internet-Based MBA Courses". Journal of Management Education. 24 (1): 32–54. doi:10.1177/105256290002400104. ISSN 1052-5629. S2CID 146683351.
  57. Nandi, Dip (May 2012). "Evaluating the quality of interaction in asynchronous discussion forums in fully online courses" (PDF). Distance Education. 33: 5–30. doi:10.1080/01587919.2012.667957. S2CID 62564665.
  58. Friesem, Yonty (2015). Emotions, Technology and Behaviors. Elsevier Science & Technology. pp. 21–46. ISBN 9780081007020.
  59. Crick, Nicki R.; Dodge, Kenneth A. (1996-01-01). "Social Information-Processing Mechanisms in Reactive and Proactive Aggression". Child Development. 67 (3): 993–1002. doi:10.2307/1131875. JSTOR 1131875. PMID 8706540.
  60. Schaffer, Rudolph H. "PEER GROUP STATUS and: SOCIAL WITHDRAWAL SOCIAL INFORMATION PROCESSING MODEL". www.credoreference.com. Retrieved 24 April 2019.
  61. Dodge, Kenneth A.; Crick, Nicki R. (1990-03-01). "Social Information-Processing Bases of Aggressive Behavior in Children". Personality and Social Psychology Bulletin. 16 (1): 8–22. doi:10.1177/0146167290161002. ISSN 0146-1672. S2CID 143537824.
  62. Madlock, Paul, E (Spring 2012). "The Influence of Supervisors' Leadership Style on Telecommuters". Journal of Business Strategies. 29 (1). ProQuest 1347406727.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  63. Guo, Yanru; Hoe-Lian Goh, Dion (May 2014). ""I Have AIDS": Content analysis of postings in HIV/AIDS support group on a Chinese microblog". Computers in Human Behavior. 34: 219–226. doi:10.1016/j.chb.2014.02.003. hdl:10220/19589.
  64. Jahng, Rosie Mi; Littau, Jeremy (October 2015). "Interacting Is Believing: Interactivity, Social Cue, and Perceptions of Journalistic Credibility on Twitter". Journalism & Mass Communication Quarterly. 93 (1): 38–58. doi:10.1177/1077699015606680. S2CID 147467235.
  65. "Crisis Communication for Law Enforcement: Crafting a Successful Strategy Using Social Media". HOMELAND SECURITY AFFAIRS. 2019-03-01. Retrieved 2019-11-18.
  66. ^ L., West, Richard (17 September 2013). Introducing okp communication theory : analysis and application. Turner, Lynn H. (Fifth ed.). New York, n I NY. ISBN 9780073534282. OCLC 844725577.{{cite book}}: CS1 maint: location missing publisher (link) CS1 maint: multiple names: authors list (link)
  67. Walther, J. B., & Parks, M. (2002). Cues filtered out, cues filtered in. Handbook of interpersonal communication. Thousand Oaks, CA: Sage Publications.
  68. Tanis, M. (2003). "Social Cues and Impression Formation in CMC". Journal of Communication. 53 (4): 676–693. CiteSeerX 10.1.1.1011.7768. doi:10.1093/joc/53.4.676.
  69. ^ Joinson, Adam. (2003). Understanding the psychology of Internet behavior. Palgrave Macmillan.
  70. ^ Tokunaga, Robert (2009). "High-Speed Internet Access to the Other: The Influence of Cultural Orientations on Self-Disclosures in Offline and Online Relationships". Journal of Intercultural Communication Research. 38 (3): 133–147. doi:10.1080/17475759.2009.505058. S2CID 144535206.
  71. Lerman, Kristina. "Social Information Processing". Google. Retrieved November 2011.

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