Jeffrey T. Hancock

Mirror, Mirror on my Facebook Wall: Effects of Exposure to Facebook on Self-Esteem

Contrasting hypotheses were posed to test the effect of Facebook exposure on self-esteem. Objective Self-Awareness (OSA) from social psychology and the Hyperpersonal Model from computer-mediated communication were used to argue that Facebook would either diminish or enhance self-esteem respectively. The results revealed that, in contrast to previous work on OSA, becoming self-aware by viewing ones own Facebook profile enhances self-esteem rather than diminishes it. Participants that updated their profiles and viewed their own profiles during the experiment also reported greater self-esteem, which lends additional support to the Hyperpersonal Model. These findings suggest that selective self-presentation in digital media, which leads to intensified relationship formation, also influences impressions of the self.

On Lying and Being Lied To: A Linguistic Analysis of Deception in Computer-Mediated Communication

This study investigated changes in both the liars and the conversational partners linguistic style across truthful and deceptive dyadic communication in a synchronous text-based setting. An analysis of 242 transcripts revealed that liars produced more words, more sense-based words (e.g., seeing, touching), and used fewer self-oriented but more other-oriented pronouns when lying than when telling the truth. In addition, motivated liars avoided causal terms when lying, whereas unmotivated liars tended to increase their use of negations. Conversational partners also changed their behavior during deceptive conversations, despite being blind to the deception manipulation. Partners asked more questions with shorter sentences when they were being deceived, and matched the liars linguistic style along several dimensions. The linguistic patterns in both the liar and the partners language use were not related to deception detection, suggesting that partners were unable to use this linguistic information to improve their deception detection accuracy.

Expressing emotion in text-based communication

Our ability to express and accurately assess emotional states is central to human life. The present study examines how people express and detect emotions during text-based communication, an environment that eliminates the nonverbal cues typically associated with emotion. The results from 40 dyadic interactions suggest that users relied on four strategies to express happiness versus sadness, including disagreement, negative affect terms, punctuation, and verbosity. Contrary to conventional wisdom, communication partners readily distinguished between positive and negative valence emotional communicators in this text-based context. The results are discussed with respect to the Social Information Processing model of strategic relational adaptation in mediated communication.

Language Style Matching as a Predictor of Social Dynamics in Small Groups

Synchronized verbal behavior can reveal important information about social dynamics. This study introduces the linguistic style matching (LSM) algorithm for calculating verbal mimicry based on an automated textual analysis of function words. The LSM algorithm was applied to language generated during a small group discussion in which 70 groups comprised of 324 individuals engaged in an information search task either face-to-face or via text-based computer-mediated communication. As a metric, LSM predicted the cohesiveness of groups in both communication environments, and it predicted task performance in face-to-face groups. Other language features were also related to the groups’ cohesiveness and performance, including word count, pronoun patterns, and verb tense. The results reveal that this type of automated measure of verbal mimicry can be an objective, efficient, and unobtrusive tool for predicting underlying social dynamics. In total, the study demonstrates the effectiveness of using language to predict change in social psychological factors of interest.

Deception and design: the impact of communication technology on lying behavior

Social psychology has demonstrated that lying is an important, and frequent, part of everyday social interactions. As communication technologies become more ubiquitous in our daily interactions, an important question for developers is to determine how the design of these technologies affects lying behavior. The present research reports the results of a diary study, in which participants recorded all of their social interactions and lies for seven days. The data reveal that participants lied most on the telephone and least in email, and that lying rates in face-to-face and instant messaging interactions were approximately equal. This pattern of results suggests that the design features of communication technologies (e.g., synchronicity, recordability, and copresence) affect lying behavior in important ways, and that these features must be considered by both designers and users when issues of deception and trust arise. The implications for designing applications that increase, decrease or detect deception are discussed.

The Priming Effects of Avatars in Virtual Settings

The study extends research on the Proteus effect by demonstrating that avatars can prime negative attitudes and cognition in desktop virtual settings. Experiment 1 shows that, after virtual group discussions, participants using black-cloaked avatars developed more aggressive intentions and attitudes but less group cohesion than those using white-cloaked avatars. In Experiment 2, individual participants using a Ku Klux Klan (KKK)-associated avatar created more aggressive Thematic Apperception Test stories in comparison to a control group. Participants using the KKK avatar also wrote less affiliative stories in comparison to those employing avatars dressed as doctors. Overall, the resulting pattern of activation of negative thoughts (i.e., aggression) coupled with the inhibition of inconsistent thoughts (i.e., cohesion, affiliation) is consistent with principles of current priming models and provides initial evidence for automatic cognitive priming in virtual settings.

Identity Shift in Computer-Mediated Environments

The present study uses a public commitment framework to examine how computer-mediated self-presentations can alter identities. Participants were asked to present with one of two traits, extroversion or introversion, in public or private computer-mediated communication. Public presentations were online, whereas private presentations took place in a text document. Only participants that presented themselves publicly internalized the trait presentation, suggesting that identity shift took place. Public self-presentations also contained more certain and definite forms of language than private self-presentations, suggesting that audiences evoke a more committed form of self-presentation. The findings in this research have important implications for the self-construction of identity online, particularly for individuals that use the Internet as a tool for public self-presentation, such as dating sites, social network sites, or blogs. Also, the findings highlight opportunities for theoretical development on identity construction as a function of computer-mediated communication.

Self-Affirmation Underlies Facebook Use

Social network sites, such as Facebook, have acquired an unprecedented following, yet it is unknown what makes them so attractive to users. Here we propose that these sites’ popularity can be understood through the fulfillment of ego needs. We use self-affirmation theory to hypothesize why and when people spend time on their online profiles. Study 1 shows that Facebook profiles are self-affirming in the sense of satisfying users’ need for self-worth and self-integrity. Study 2 shows that Facebook users gravitate toward their online profiles after receiving a blow to the ego, in an unconscious effort to repair their perceptions of self-worth. In addition to illuminating some of the psychological factors that underlie Facebook use, the results provide an important extension to self-affirmation theory by clarifying how self-affirmation operates in people’s everyday environments.

Profile as promise: A framework for conceptualizing veracity in online dating self-presentations:

This research explores how users conceptualize misrepresentation (their own and others’) in a specific genre of online self-presentation: the online dating profile. Using qualitative data collected from 37 online dating participants, we explore user understandings of self-presentational practices, specifically how discrepancies between one’s online profile and offline presentation are constructed, assessed, and justified. Based on our analysis, we propose the profile as promise framework as an analytic lens that captures user understandings about profile-based representation through a qualitative analysis of their retrospective reflections.

An Analysis of Socioemotional and Task Communication in Online Multiplayer Video Games

Communication within recreational computer-mediated settings has received less attention than interaction in instrumental and organizational contexts. The present study compared the socioemotional and task-oriented content of 5,826 text messages produced by participants of an online video game. The results suggest that participants produced significantly more socioemotional than task content. Consistent with predictions flowing from Social Information Processing Theory, the vast majority of messages were socioemotional and positively valenced, despite the ostensible game objective of fighting other participants. Experience level played an important role in message production. More experienced participants produced both more positive and fewer negative socioemotional messages than the less experienced and used more specialized language conventions (e.g., emoticons, scripted emotes, and abbreviations). The results are discussed in the context of previous research examining the effect of communication medium and interaction purpose on socioemotional and task message production.