Joseph B. Bayer

Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence.

Prior research indicates that Facebook usage predicts declines in subjective well-being over time. How does this come about? We examined this issue in 2 studies using experimental and field methods. In Study 1, cueing people in the laboratory to use Facebook passively (rather than actively) led to declines in affective well-being over time. Study 2 replicated these findings in the field using experience-sampling techniques. It also demonstrated how passive Facebook usage leads to declines in affective well-being: by increasing envy. Critically, the relationship between passive Facebook usage and changes in affective well-being remained significant when controlling for active Facebook use, non-Facebook online social network usage, and direct social interactions, highlighting the specificity of this result. These findings demonstrate that passive Facebook usage undermines affective well-being.

Texting while driving on automatic: Considering the frequency-independent side of habit

This study tested the potential of the frequency-independent components of habit, or automaticity, to predict the rate of texting while driving. A survey of 441 college students at a large American university was conducted utilizing a frequency-independent version of the experimentally validated Self-Report Habit Index (SRHI; Orbell & Verplanken, 2010; Verplanken & Orbell, 2003). Controlling for gender, age, and driver confidence, analyses showed that automatic texting tendencies predicted both sending and reading texts while driving. The findings suggest that texting while driving behavior may be partially attributable to individuals doing so without awareness, control, attention, and intention regarding their own actions. The unique contribution of automaticity explained more variance than overall individual usage, and remained significant even after accounting for norms, attitudes, and perceived behavioral control. The results demonstrate the importance of distinguishing the level of automaticity from behavioral frequency in mobile communication research. Future applications and implications for research are discussed.

Sharing the small moments: ephemeral social interaction on Snapchat

ABSTRACT Ephemeral social media, platforms that display shared content for a limited period of time, have become a prominent component of the social ecosystem. We draw on experience sampling data collected over two weeks (Study 1; N = 154) and in-depth interview data from a subsample of participants (Study 2; N = 28) to understand college students’ social and emotional experiences on Snapchat, a popular ephemeral mobile platform. Our quantitative data demonstrated that Snapchat interactions were perceived as more enjoyable – and associated with more positive mood – than other communication technologies. However, Snapchat interactions were also associated with lower social support than other channels. Our qualitative data highlighted aspects of Snapchat use that may facilitate positive affect (but not social support), including sharing mundane experiences with close ties and reduced self-presentational concerns. In addition, users compared Snapchat to face-to-face interaction and reported attending to Snapchat content more closely than archived content, which may contribute to increased emotional rewards. Overall, participants did not see the application as a platform for sharing or viewing photos; rather, Snapchat was viewed as a lightweight channel for sharing spontaneous experiences with trusted ties. Together, these studies contribute to our evolving understanding of ephemeral social media and their role in social relationships.

Neural Correlates of Susceptibility to Group Opinions in Online Word-of-Mouth Recommendations

The present study examines the relationship between social influence and recommendation decisions among adolescents in the new media environment. Participants completed the App Recommendation Task—a task that captures neural processes associated with making recommendations to others, with and without information about peer recommendations of the type commonly available online. The results demonstrate that increased activity in the striatum and orbitofrontal cortex in response to peer recommendations is significantly correlated with participants changing their recommendations to be consistent with this feedback within subjects. Furthermore, individual differences in activation of the temporoparietal junction during feedback that peer recommendations varied from those of the participant correlated with individual differences in susceptibility to influence on recommendation decisions between subjects. These brain regions have previously been implicated in social influence and the concept of being a “successful idea salesperson,” respectively. Together, they highlight a potential combination of internal preference shifts and consideration of the mental states of others in recommendation environments that include peer opinions.

Brain connectivity dynamics during social interaction reflect social network structure

Significance We examine brain dynamics during a common social experience—social exclusion—to determine whether cohesive networks in the brain support navigation of the social world and contribute to the shape of friendship networks. Specifically, exclusion is associated with increased cohesion within brain networks that support understanding what other people think and feel. Furthermore, using social network analysis, we find that variability in brain dynamics is associated with the shape of participants’ friendship networks. Bringing together findings related to brain network dynamics and social network dynamics illuminates ways that psychological processes may shape and be shaped by social environments. Social ties are crucial for humans. Disruption of ties through social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader social network resources. Here, we use fMRI data acquired from 80 male adolescents to investigate how social exclusion modulates functional connectivity within and across brain networks involved in social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship network data, we examine how individual variability in brain reactivity to social exclusion relates to the density of participants’ friendship networks, an important aspect of social network structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how social network characteristics are associated with task-based connectivity dynamics, we find that participants who showed greater changes in connectivity within the mentalizing system when socially excluded by peers had less dense friendship networks. This work provides insight to understand how distributed brain systems respond to social and emotional challenges and how such brain dynamics might vary based on broader social network characteristics.

Automaticity, mindfulness, and self-control as predictors of dangerous texting behavior

The problems of distracted driving and distracted pedestrian accidents have attracted the attention of public health officials, transportation and psychology researchers, and communication scholars. Though public safety campaigns intended to curb dangerous texting behaviors have been implemented, relatively little is known about the psychological processes involved in these behaviors. Our study integrates emerging research on automatic behavior, self-control, and mindfulness in an attempt to explain why many individuals believe that such behavior is dangerous but engage in it anyway. Our survey study (N = 925) of college students (n = 313) and adults (n = 612) revealed that texting automaticity, trait self-control, and the “acting with awareness” facet of trait mindfulness were all uniquely predictive of texting while driving as well as texting while walking. Further, we observe that texting automaticity is more strongly related to the frequency of texting while walking than driving. Together, the findings synthesize disparate strands of research on cognition and media use and demonstrate the importance of distinguishing among types of consciousness to understanding mobile communication behavior.

Neural bases of recommendations differ according to social network structure

Abstract Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others—high information brokers—use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. ‘mentalizing’) more when spreading ideas. We used social network analysis to quantify individuals’ opportunities for information brokerage. This served as a predictor of activity within meta-analytically defined neural regions associated with mentalizing (dorsomedial prefrontal cortex, temporal parietal junction, medial prefrontal cortex, /posterior cingulate cortex, middle temporal gyrus) as participants received feedback about peer opinions of mobile game apps. Higher information brokers exhibited more activity in this mentalizing network when receiving divergent peer feedback and updating their recommendation. These data support the idea that those in different network positions may use their brains differently to perform social tasks. Different social network positions might provide more opportunities to engage specific psychological processes. Or those who tend to engage such processes more may place themselves in systematically different network positions. These data highlight the value of integrating levels of analysis, from brain networks to social networks.

Understanding and measuring mobile Facebook use: Who, why, and how?

Although social media are increasingly used through mobile devices, the differences between mobile and computer-based practices remain unclear. This study attempts to tease out some of these differences through multiple analytical strategies and samples. Drawing on theoretical expectations about the affordances, motivations, and cognition of mobile use, we investigate who uses mobile Facebook, why they use it, and how they use it. To do this, we first compare those who use Facebook only on a PC with those who also use the service on mobile devices. Then, in order to quantify mobile Facebook use, we propose a new set of survey measures to tap into more and less mobile users among the sample of people who access Facebook through multiple modes. These questions serve to validate measures of mobile Facebook use, and allow us to examine how patterns of use relate to user motivations and experiences. Findings revealed important differences between PC-only and mobile users as well as a distinct and reliable measure of mobileness. Whereas motivations for Facebook use did not differ across users, more habitual and absorbing use of Facebook was strongly, positively associated with mobile practices. These findings illustrate that people use mobile Facebook in more automatic and immersive ways that are independent of overall frequency of use or motivations. Implications for the psychological mechanisms involved in mobile communication, as well as survey measurement of social media use, are discussed.

Facebook in context(s): Measuring emotional responses across time and space:

This article advances a contextual approach to understanding the emotional and social outcomes of Facebook use. In doing so, we address the ambiguity of previously reported relationships between Facebook use and well-being. We test temporal (shorter vs longer time spans) and spatial (at home vs away from home) dimensions of Facebook activity using an innovative approach. By triggering smartphone surveys in response to users’ naturalistic Facebook posting, we captured the immediate context of both mobile and desktop activities during daily life. Findings indicated positive—yet fleeting—emotional experiences up to 10 minutes after active posting and higher arousal for 30 minutes following posting at home. Nonetheless, Facebook activities predicted no changes in aggregate mood over 2 weeks, despite showing positive relationships to bridging social capital during the same period. Our results call attention to fleeting experiences (vs enduring consequences) and encourage future research to specify temporal and spatial boundaries.

Developing a Research Agenda for Human-Centered Data Science

The study and analysis of large and complex data sets offer a wealth of insights in a variety of applications. Computational approaches provide researchers access to broad assemblages of data, but the insights extracted may lack the rich detail that qualitative approaches have brought to the understanding of sociotechnical phenomena. How do we preserve the richness associated with traditional qualitative methods while utilizing the power of large data sets? How do we uncover social nuances or consider ethics and values in data use? These and other questions are explored by human-centered data science, an emerging field at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), human computation, and the statistical and computational techniques of data science. This workshop, the first of its kind at CSCW, seeks to bring together researchers interested in human-centered approaches to data science to collaborate, define a research agenda, and form a community.