Social media platforms enable diverse users to engage in everyday political talk with (un)known audiences.Platform features and affordances may shape political discussions and how audiences make sense of them, potentially shifting political attitudes.Using affirmative action (AA) -a controversial, identity-centric higher education policy -as a context for analysis, we investigate social media features' and affordances' role in AA discussions.Our qualitative content analysis of over 38,000 social media posts and comments across Reddit, Twitter/X, and TikTok demonstrates how features (e.g., Green Screen) and affordances (e.g., visibility) shape the presentation of external evidence and cues on social media that help users determine information veracity.We introduce sociotechnical rhetorical strategies to describe rhetorical devices enabled by platform features and affordances and consider how these strategies are used to express and refute racism online.Finally, we suggest ways that social media designers may leverage visibility, navigability, and association affordances to enhance users' ability to make sense of and safely experience AA discussions.

Personalized algorithms are central to how people discover information and engage with media online. Drawing on interviews and screen-sharing sessions with TikTok users (N=27), we extend the algorithmic crystal framework, which conceptualizes personalized algorithms as reflective surfaces through which users may interpret their experiences with content in relation to their own self-concepts. This research expands the framework to account for the interpersonal dynamics that emerge from user engagement with algorithmic feeds. We found that users who feel ''seen'' by the algorithm use its personalized content recommendations for social signaling: sharing content that represents themselves (''this is me''), acknowledges how they see others (''this is you''), and affirms shared identities (''this is us''). We suggest that these dynamics give rise to a hybrid form of digital selfhood simultaneously shaped by algorithmic profiling and networked social interaction-blurring existing separations in digital identity theory. We also build on the concept of diffracted belonging-the experience of recognizing aspects of oneself in the content of diverse others-to explore how users interpret algorithmically-recommended content as reflective of the self. Our findings suggest that such moments of recognition may contribute to shifts in self-perception and support ongoing processes of identity development. Finally, we illustrate how users engage in the strategic refinement of their feeds to manage how they feel while using the platform. Our findings suggest that this process involves reflective, and sometimes effortful, negotiation with the algorithm, highlighting the co-produced nature of mood management in everyday human-algorithm interactions. Together, these findings underscore the interpersonal and psychological dynamics of interacting with personalized algorithms and provide insights into how social communication and identity work unfold in algorithmically-mediated environments.

First-generation, low-income (FGLI) students face barriers to college access and retention that reproduce socioeconomic inequities. These students turn to social media for college-related social support. However, while students can reap benefits from social media, it is crucial to investigate under what conditions social media interactions facilitate or hinder students' access to college-related social support. We conducted in-depth, semi-structured interviews with 20 FGLI students in the United States who applied for college in the 2020-2021 application cycle. Our findings illustrate how FGLI identity disclosures on social media can facilitate access to college-related social support when met with supportive or neutral responses, while stigmatizing reactions can disrupt access to these benefits. We draw from the lenses of the "doubly disadvantaged'' and "privileged poor'' used to describe FGLI students in post-secondary education to argue that engaging in FGLI identity disclosures on social media can help students become academically and psychosocially prepared for collegiate environments. Finally, we discuss the implications of this work for theoretical frameworks centering social media and social support, consider when stigma might lead to support space abandonment, and describe the potential implications for social media design.

“Time spent on platform” is a widely used measure in many studies examining social media use and well-being, yet the current literature presents unresolved findings about the relationship between time on platform and well-being. In this paper, we consider the moderating effect of people’s mindsets about social media — whether they think a platform is good or bad for themselves and for society more generally. Combining survey responses from 29,284 participants in 15 countries with server-logged data of Facebook use, we found that when people thought that Facebook was good for them and for society, time spent on the platform was not significantly associated with well-being. Conversely, when they thought Facebook was bad, greater time spent was associated with lower well-being. On average, there was a small, negative correlation between time spent and well-being and the causal direction is not known. Beliefs had a stronger moderating relationship when time-spent measures were self-reported rather than coming from server logs. We discuss potential mechanisms for these results and implications for future research on well-being and social media use.

This research examines how TikTok users conceptualize and engage with personalized algorithms on the TikTok platform. Using qualitative methods, we analyzed 24 interviews with TikTok users to explore how algorithmic personalization processes inform people's understanding of their identities as well as shape their orientation to others. Building on insights from our qualitative data and previous scholarship on algorithms and identity, we propose a novel conceptual model to understand how people think about and interact with personalized algorithmic systems. Drawing on the metaphor of crystals and their properties, the algorithmic crystal framework is an analytic frame that captures user understandings of how personalized algorithms (1) interact with user identity by reflecting user self-concepts that are both multifaceted and dynamic and (2) shape perspectives on others encountered through the algorithm, by orienting users to recognize parts of themselves refracted in other users and to experience ephemeral, diffracted connections with groups of similar others. We describe how the algorithmic crystal framework can extend theory and inform new lines of research around the implications of algorithms in self-concept development and social life.

Social media platforms provide access to informational and emotional resources that can enable low-income populations to further their socioeconomic mobility and cope with unexpected life demands. However, lack of both interpersonal trust and a sense of shared identity often prevent low-income individuals from eliciting resources from the diverse networks embedded in these platforms. Building on past research, we investigated factors that facilitated and deterred low-income members of the community-based non-profit organization Family Independence Initiative (FII) from seeking informational and emotional support from other members on the organization's social media platform, UpTogether. We found that despite participants' perceived shared identity, members primarily requested resources from other UpTogether members through offline interactions due to lack of interpersonal trust. We extend existing research on the limitations of shared identity and the role of interpersonal trust and social norms in facilitating resource-seeking interactions among strangers in low-income contexts. We suggest that social media platforms incorporate pseudonymous posting to facilitate relationship development and allow users to disclose their needs without revealing identifying information.

Many studies examining social media use rely on self-report survey questions about how much time participants spend on social media platforms. Because they are challenging to answer accurately and susceptible to various biases, these self-reported measures are known to contain error -- although the specific contours of this error are not well understood. This paper compares data from ten self-reported Facebook use survey measures deployed in 15 countries (N = 49,934) against data from Facebook's server logs to describe factors associated with error in commonly used survey items from the literature. Self-reports were moderately correlated with actual Facebook use (r = 0.42 for the best-performing question), though participants significantly overestimated how much time they spent on Facebook and underestimated the number of times they visited. People who spent a lot of time on the platform were more likely to misreport their time, as were teens and younger adults, which is notable because of the high reliance on college-aged samples in many fields. We conclude with recommendations on the most accurate ways to collect time-spent data via surveys.

We interviewed VR users (n=25) about their experiences with harassment, abuse, and discomfort in social YR. We find that users' definitions of `online harassment' are subjective and highly personal, making it difficult to govern social spaces at the platform or application level. We also find that embodiment and presence make harassment feel more intense. Finally, we find that shared norms for appropriate behavior in social VR are still emergent, and that users distinguish between newcomers who unknowingly violate expectations for appropriateness and those users who aim to cause intentional harm.

In immersive virtual reality (VR) environments, experiences of harassment can be exacerbated by features such as synchronous voice chat, heightened feelings of presence and embodiment, and avatar movements that can feel like violations of personal space (such as simulated touching or grabbing). Simultaneously, efforts to govern these developing spaces are made more complex by the distributed landscape of virtual reality applications and the dynamic nature of local community norms. To better understand this nascent social and psychological environment, we interviewed VR users (n=25) about their experiences with harassment, abuse, and discomfort in social VR. We find that users' definitions of what constitutes online harassment are subjective and highly personal, which poses significant challenges for the enforcement of platform- or application-level policies. We also find that embodiment and presence in VR spaces make harassment feel more intense, while ephemerality and non-standardized application controls make it difficult to escape or report unwanted behavior. Finally, we find that shared norms for appropriate behavior in social VR are still emergent, and that users distinguish between newcomers who unknowingly violate expectations for appropriate behavior and those users who aim to cause intentional harm. We draw from social norms theory to help explain why norm formation is particularly challenging in virtual reality environments, and we discuss the implications of our findings for the top-down governance of online communities by platforms. We conclude by recommending alternative strategies for community governance.

Ridesharing services like Uber and Lyft play an important role in broadening access to affordable, efficient transportation for people with vision impairments by providing an alternative to public transit, friends, or family. While previous work has focused on the challenges that people with disabilities experience using public transportation and how they interact with ridesharing drivers, little research has focused on the people in the "front seat" and how drivers support people with vision impairments during rides. To better understand these interactions, we interviewed 18 ridesharing drivers who had experience driving passengers with a disability, specifically people with vision impairments. Our findings show that ridesharing drivers engage in different forms of labor (i.e. physical, relational) to support passengers with disabilities and are seeking ways to learn more about disability. Contrary to most previous literature on ridesharing and the sharing economy, we find that drivers do not see this labor as a burden. We discuss ethical and design considerations for the complex process of disability disclosure, wherein passengers might benefit from having drivers know in advance about their disability, but also open themselves up to possible exploitation by drivers.

Many existing studies of social media focus on only one platform, but the reality of users' lived experiences is that most users incorporate multiple platforms into their communication practices in order to access the people and networks they desire to influence. In order to better understand how people make sharing decisions across multiple sites, we asked our participants (N=29) to categorize all modes of communication they used, with the goal of surfacing their mental models about managing sharing across platforms. Our interview data suggest that people simultaneously consider "audience" and "content" when sharing and these needs sometimes compete with one another; that they have the strong desire to both maintain boundaries between platforms as well as allowing content and audience to permeate across these boundaries; and that they strive to stabilize their own communication ecosystem yet need to respond to changes necessitated by the emergence of new tools, practices, and contacts. We unpack the implications of these tensions and suggest future design possibilities.

Social network site (SNS) platforms have the potential to be effective information-seeking channels due to their technical and social affordances, such as the ability to broadcast content to a large group and to aggregate one's contacts. This study tests the impact of a Facebook app that allows users to visualize their network of Facebook Friends to see how it influences who adolescents identify as good sources of information about college. Comparing Friends selected by 24 high school seniors before and after viewing Facebook network visualizations reveals that first-generation students were more likely to select higher quality information sources among their Facebook Friends after exposure to the visualization. Our results suggest that social media can help users identify good human information sources by making hidden resources in one's network more visible.

Prior research suggests that some social media practices can play a role in shaping students' adjustment to college; however, the specific mechanisms by which social media can support the identity work associated with successful transitions to college are not well understood. This paper investigates how social media experiences and interactions can support college-focused identity construction for low-income, first-generation college students. Drawing on in-depth, semi-structured interviews with 31 emergent adults from disadvantaged backgrounds in the United States, we identify social media affordances that support the process of identity work during a critical transition period. Findings indicate that social media platforms support provisional identity work, but disadvantaged college students lack access to mentor-like figures that could be accessible through social media. We also find barriers to sharing information online that may extend to other life transitions in multiple life contexts and review the design implications of our findings.

Parents, educators, and policymakers have expressed concern about the future implications of young people's sharing practices on social media sites. However, little is known about how young people themselves feel about their online behaviors being preserved and resurfaced later in adulthood. We conducted semi-structured interviews with 28 college-going, primarily female, young adults about their use of social media and their transition from adolescence into young adulthood. We find that participants recognize archival value in their own Facebook histories, despite sometimes perceiving these histories to be embarrassing. They experience tensions between meeting their current self-presentational goals and maintaining the authenticity of historical content. To reconcile these tensions, they engage in retrospective impression management practices, such as curating past content. They also engage in 'backstalking' behaviors, in which they view and engage with other users' Facebook histories' openly with close ties and discreetly with weak ties. We consider this ludic engagement through the lens of emerging adulthood and discuss the theoretical implications of our findings, especially in light of emerging applications which intentionally resurface digital traces.

Research suggests that social network sites can support social capital exchanges, which are often triggered by requests for assistance, such as seeking recommendations or asking for favors. Responsiveness to these requests for help is important to study because these interactions have the potential to affect users' overall satisfaction with the experience of using SNSs, signal social grooming functions that are an essential part of relationship maintenance, and affect social capital processes. In this paper, we study a corpus of public status updates posted to Facebook (N=7,466) in order to identify the pattern of responses to status updates that attempt to mobilize resources from the poster's Facebook network. Findings suggest that mobilization requests are treated differently than other kinds of posts; posts that attempt to mobilize help receive more comments than non-mobilization attempts. Additionally, responses occur more quickly and are shaped by the type of support requested (e.g., a recommendation vs. a favor). These findings help us better understand the role of help-seeking behaviors in the social capital conversion process as it unfolds via social media.

Past research has demonstrated a link between perceptions of social capital and use of the popular social network site, Facebook. Williams' Internet Social Capital Scales, based on Putnam's formulation, tap into sub-dimensions of social capital that have not been broadly used yet may enlighten our understanding of the different ways in which connecting with others online can facilitate access to resources embedded within our social relationships. In this study, we segment Williams' Internet Social Capital Scales into various sub-dimensions using factor analysis and explicate the distinct facets of social capital through a lab experiment in which Facebook users (N=98) request a small favor from their Facebook network. We find that some sub-dimensions play a significant role in getting favors from Facebook friends while bonding and bridging social capital do not significantly predict responses to favor requests.

Research has identified a link between Facebook use and bridging social capital, which speaks to the informational resources provided by a diverse network of connections. In order to explicate the mechanism through which Facebook may help individuals mobilize these embedded informational and support resources, this study explores the role of bridging social capital, question type, and relational closeness on the perceived utility and satisfaction of information obtained through questions posed to one's network of Facebook Friends through the status update feature. Employing a mixed-method approach, we utilize survey data collected from a sample of non-academic university staff (N=666), as well as actual Facebook question examples and responses collected during a follow-up lab session from a subset of this sample (N=71). Results indicate that question-askers' bridging social capital positively predicts the utility of responses received on SNS, while useful responses are more likely to be received from weaker ties.

Although Facebook is the largest social network site in the U.S. and attracts an increasingly diverse userbase, some individuals have chosen not to join the site. Using survey data collected from a sample of non-academic staff at a large Midwestern university (N=614), we explore the demographic and cognitive factors that predict whether a person chooses to join Facebook. We find that older adults and those with higher perceived levels of bonding social capital are less likely to use the site. Analyzing open-ended responses from non-users, we find that they express concerns about privacy, context collapse, limited time, and channel effects in deciding to not adopt Facebook. Finally, we compare non-adopters against users who differ on three dimensions of use. We find that light users often have social capital outcomes similar to, or worse than, non-users, and that heavy users report higher perceived bridging and bonding social capital than either group.

Facebook has become an increasingly important tool for people engaging in a range of communication behaviors, including requesting help from their social network to address information needs. Through a study of 614 staff members at a large university, we show how social capital, network characteristics, and use of Facebook are related to how useful individuals find Facebook to be for informational purposes and their propensity to seek different types of information on the site. We find that bridging social capital and engagement with one's network through directed communication behaviors are important predictors of these dimensions of information seeking; furthermore, a number of demographic and usage behavior differences exist between those who choose to engage in information-seeking behaviors on Facebook and those who do not. Finally, when predicting information-seeking behaviors, we identify a significant interaction between users' perceptions of Facebook as appropriate for purposes beyond the purely social and their engagement with their network.

Student athletes at U.S. universities are bound by rules affecting their participation in their sport and are highly visible to their fellow students and a larger public of fans. This difference makes them more likely than other students to be sensitive to issues of impression management and use of social network sites (SNSs). In this paper, we show how student athletes at a large university engage with the social network site Facebook compared with their fellow students, including differences in the size of their networks, reported uses of the site, and perceptions about their audience. This work shows that while student athletes have a higher anticipation of being watched, they have similar uses and concerns compared to other students.

As social computing systems persist over time, the user experiences and interactions they support may change. One type of social computing system, Social Network Sites (SNSs), are becoming more popular across broad segments of Internet users. Facebook, in particular, has very broad participation amongst college attendees, and has been growing in other populations as well. This paper looks at how use of Facebook has changed over time, as indicated by three consecutive years of survey data and interviews with a subset of survey respondents. Reported uses of the site remain relatively constant over time, but the perceived audience for user profiles and attitudes about the site show differences over the study period.

Online dating is a popular new tool for initiating romantic relationships, although recent research and media reports suggest that it may also be fertile ground for deception. Unlike previous studies that rely solely on self-report data, the present study establishes ground truth for 80 online daters' height, weight and age, and compares ground truth data to the information provided in online dating profiles. The results suggest that deception is indeed frequently observed, but that the magnitude of the deceptions is usually small. As expected, deceptions differ by gender. Results are discussed in light of the Hyperpersonal model and the self-presentational tensions experienced by online dating participants.

Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, giving designers insight into the importance of the profile and how it works to encourage connections and articulated relationships between users. We describe a theoretical framework that draws on aspects of signaling theory, common ground theory, and transaction costs theory to generate an understanding of why certain profile fields may be more predictive of friendship articulation on the site. Using a dataset consisting of 30,773 Facebook profiles, we determine which profile elements are most likely to predict friendship links and discuss the theoretical and design implications of our findings.

Large numbers of college students have become avid Facebook users in a short period of time. In this paper, we explore whether these students are using Facebook to find new people in their offline communities or to learn more about people they initially meet offline. Our data suggest that users are largely employing Facebook to learn more about people they meet offline, and are less likely to use the site to initiate new connections.