For trans people seeking gender-affirming surgery, there are barriers to accessing trustworthy information about procedures, surgeons, and the postoperative process. Trans-led online information sharing communities are essential tools for trans people seeking surgery, however, they rely on community knowledge that may not always be accessible, complete, or accurate. To understand how an online communication platform might support both surgeons and trans people seeking surgery, we conducted asynchronous online focus groups with 14 participants (ten trans community members and four gender-affirming surgeons). We found that gender-affirming surgeons and trans community members hold values in tensionvalues in alignment such as shared desires for information accuracy, transparency, and communication efficiency to support the surgical process. We contribute design implications for future online information sharing platforms that balance the needs of both trans patients and gender-affirming surgeons, including surgeon-verified information, surgeon anonymity, credential verification, searchable FAQs, and integrated community knowledge.

As AI and data systems often falter when encountering queer identities and knowledge, reinforcing existing oppressions, queer people have resisted such systems and their normalizing tendencies. This pictorial explores tactics of queering AI through a collaborative zine-making project (i.e. zineography) that challenges generative AI and data systems. We share how we workshopped and materialized queering tactics in zine spreads; analyzed these spreads according to materials, content, and tone; and visualized our analysis as thematic collages. We contribute: (1) tangible characteristics of queering AI and data systems (i.e. materials, tones, and aesthetics); and (2) design opportunities for using zineographies as a radical method for building and collectively sharing knowledge about a marginalized community, including recommendations for enacting queer zineographies. By materializing queering tactics through zine-making, we invite embodied, action-oriented critiques that question dominant techno-solutionist movements and trace queer possibilities outside of their normalizing narratives.

Social media platforms and their governance policies often fail marginalized users in high-stakes contexts, including war, violent attacks, human rights violations, humanitarian crises, and situations of systemic oppression. Through interviews, autoethnography, and digital ethnography, this paper presents three case studies from Venezuela, Nigeria, and the United States to examine how marginalized populations engage with social media in non-normative ways. We analyze how platform design and policies intersect with participants’ identities, marginalization, and labor. Our central finding is that users’ urgent infrastructural and contextual needs are often overlooked, revealing structural flaws in social media design that mimic physical-world power asymmetries. In response, users develop innovative workarounds, engage in self-censorship, and adopt coping strategies, undertaking additional, often invisible, sociotechnical repair work that reinforces their precarity. To address these complex needs, we urge social media companies to collaborate with marginalized users to integrate alternative infrastructural features, such as emergency response tools and exit mechanisms for wellbeing.

Technologies like online support networks and safety apps hold promise for improving personal safety. However, these tools often fail to address the widespread violence against gender-diverse individuals, particularly transgender Black, Indigenous, and People of Color (TBIPOC) in the United States. To better understand technology’s role in managing safety among TBIPOC individuals, we conducted 22 semi-structured interviews. We found that participants engaged in what we call safety labor, the emotional and cognitive work of managing misrecognition, assessing risk, and downplaying discomfort to maintain self-preservation. Visibly-trans participants faced greater vulnerability and tended to feel safer when their trans identity was not visible. Technology enabled sharing locations and rides, and sending coded messages. Findings highlight the need for tailored technologies that protect privacy and help TBIPOC individuals when they experience violence. Our research contributes a deeper understanding of TBIPOC experiences and informs technology development to promote TBIPOCs’ safety.

Peer Reviewed

Peer Reviewed

Peer Reviewed

Peer Reviewed

When ethnic minorities in the Global South use social media to document human rights abuses against them by majority groups or state actors, platforms often remove this content, thus suppressing these groups' ability to raise awareness about their oppression. To understand ethnic minorities in the Global South's experiences with content moderation, we conducted interviews with ethnic minority Nigerian journalists, activists, politicians, and lawyers, and digital ethnographic observation of social media posts about human rights violations. We found that participants use social media as immediate and urgent archival tools to document violence and human rights abuses against them and their communities, which would not be possible with traditional media due to systemic state exclusion. Further, we identify cultural complexities and context gaps that are frequently ignored by social media companies, who impose Global North norms and values when moderating diverse populations in the Global South. When ethnic minorities post about violence and human rights concerns, they often experience over-moderation, while harmful content that targets them with violence is often under-moderated. We argue for a specialized ''social justice archive moderation'' as a way to account for the documentary and archival functions that social media serves for marginalized populations in conflict zones. We argue that this approach helps to support ethnically, linguistically, culturally, and politically vulnerable populations when moderating Global South populations in high-stakes violence and human rights contexts.

Content creators with marginalized identities are disproportionately affected by shadowbanning on social media platforms, which impacts their economic prospects online. Through a diary study and interviews with eight marginalized content creators who are women, pole dancers, plus size, and/or LGBTQIA+, this paper examines how content creators with marginalized identities experience shadowbanning. We highlight the labor and economic inequalities of shadowbanning, and the resulting invisible online labor that marginalized creators often must perform. We identify three types of invisible labor that marginalized content creators engage in to mitigate shadowbanning and sustain their online presence: mental and emotional labor, misdirected labor, and community labor. We conclude that even though marginalized content creators engaged in cross-platform collaborative labor and personal mental/emotional labor to mitigate the impacts of shadowbanning, it was insufficient to prevent uncertainty and economic precarity created by algorithmic opacity and ambiguity.

Shadowbanning is a unique content moderation strategy receiving recent media attention for the ways it impacts marginalized social media users and communities. Social media companies often deny this content moderation practice despite user experiences online. In this paper, we use qualitative surveys and interviews to understand how marginalized social media users make sense of shadowbanning, develop folk theories about shadowbanning, and attempt to prove its occurrence. We find that marginalized social media users collaboratively develop and test algorithmic folk theories to make sense of their unclear experiences with shadowbanning. Participants reported direct consequences of shadowbanning, including frustration, decreased engagement, the inability to post specific content, and potential financial implications. They reported holding negative perceptions of platforms where they experienced shadowbanning, sometimes attributing their shadowbans to platforms' deliberate suppression of marginalized users' content. Some marginalized social media users acted on their theories by adapting their social media behavior to avoid potential shadowbans. We contributecollaborative algorithm investigation : a new concept describing social media users' strategies of collaboratively developing and testing algorithmic folk theories. Finally, we present design and policy recommendations for addressing shadowbanning and its potential harms.

Extended reality (XR) technologies are becoming increasingly pervasive, and may have capacity to help marginalized groups such as transgender people. Drawing from interviews with n = 18 creators of trans technology, we examined how XR technologies do and can support trans people. We uncovered a number of creative ways that XR technologies support trans experiences. Trans technology creators are designing augmented reality (AR) and virtual reality (VR) systems that help people explore trans identity, experience new types of bodies, educate about and display trans stories and curated trans content, manipulate the physical world, and innovate gender-affirming surgical techniques. Additionally, we show how considering XR as an analogy for trans identity helps us to think about the fluidity and fluctuation inherent in trans identity in new ways, which in turn enables envisioning technologies that can better support complex and changing identities. Despite XR's potential for supporting trans people, current AR and VR systems face limitations that restrict their large-scale use, but as access to XR systems increase, so will their capacity to improve trans lives.

Marginalized social media users struggle to navigate inequitable content moderation they experience online. We developed the Online Identity Help Center (OIHC) to confront this challenge by providing information on social media users' rights, summarizing platforms' policies, and providing instructions to appeal moderation decisions. We discuss our findings from interviews (n = 24) and surveys (n = 75) which informed the OIHC's design, along with interviews about and usability tests of the site (n = 12). We found that the OIHC's resources made it easier for participants to understand platforms' policies and access appeal resources. Participants expressed increased willingness to read platforms' policies after reading the OIHC's summarized versions, but expressed mistrust of platforms after reading them. We discuss the study's implications, such as the benefits of providing summarized policies to encourage digital literacy, and how doing so may enable users to express skepticism of platforms' policies after reading them.

Migrants experience unique needs and use social media, in part, to address them. While prior work has primarily focused on migrant populations who are vulnerable socio-economically and legally, less is known about how highly educated migrant populations use social media. Additionally, a growing body of work focuses on algorithmic perceptions and resistance, primarily from laypersons' perspectives rather than people with high degrees of algorithmic literacy. To address these gaps, we draw from interviews with 20 Chinese-born migrant technology professionals. We found that social media played an integral role in helping participants meet their unique needs but that participants perceived social media algorithms to negatively shape the content they consumed, which ultimately influenced their mobility-related aspirations and goals. We discuss how findings challenge the promise of algorithmic literacy and contribute to a human-centered conceptualization of algorithmic mobility as socially and algorithmically produced motion that concerns the movement of physical bodies and interactions as well as associated digital movement. Specifically, we introduce a fourth dimension of algorithmic mobility: algorithmically curated content on social media and elsewhere based on facets of users' identities directly influences users' mobility-related aspirations and goals, such as how, when, and where they go. Finally, we call for transnational policy interventions related to algorithms and highlight design considerations around content moderation, algorithmic user-control, and contestability.

Non-consensual intimate media (NCIM) involves sharing intimate content without the depicted person's consent, including 'revenge porn' and sexually explicit deepfakes. While NCIM has received attention in legal, psychological, and communication fields over the past decade, it is not sufficiently addressed in computing scholarship. This paper addresses this gap by linking NCIM harms to the specific technological components that facilitate them. We introduce the sociotechnical stack , a conceptual framework designed to map the technical stack to its corresponding social impacts. The sociotechnical stack allows us to analyze sociotechnical problems like NCIM, and points toward opportunities for computing research. We propose a research roadmap for computing and social computing communities to deter NCIM perpetration and support victim-survivors through building and rebuilding technologies.

Trans technology – technology created to help address challenges that trans people face – is an important area for innovation that can help improve marginalized people’s lives. We conducted 104 interviews with 115 creators of trans technology to understand how they involved trans people and communities in design processes. We describe projects that used human-centered design processes, as well as design processes that involved trans people in smaller ways, including gathering feedback from users, conducting user testing, or the creators being trans themselves. We show how involving trans people and communities in design is vital for trans technologies to realize their potential for addressing trans needs. Yet we highlight a frequent gap between trans technology design and deployment, and discuss ways to bridge this gap. We argue for the importance of involving community in trans technology design to ensure that trans technology achieves its promise of helping address trans needs and challenges.

We present a cross-cultural diary study with 64 transgender (trans) and non-binary adults in Mexico, the U.S., and India, to understand experiences keeping track of and managing aspects of personal health and well-being. Based on a reflexive thematic analysis of diary data, we highlight sociotechnical interactions that shape how trans and non-binary people track and manage aspects of their health and well-being. Specifically, we surface the ways in which trans and non-binary people infrastructure forms of care, by assembling together elements of informal social ecologies, formalized knowledge sources, and self-reflective media. We examine the forms of precarity that interact with care infrastructure and shape management of health and well-being, including management of gender identity transitions. We discuss the ways in which our findings extend knowledge at the intersection of technology and marginalized health needs, and conclude by arguing for the importance of a research agenda to move toward TGNB-inclusive design.

When studying identity transitions, interview participants can find it difficult to reflect on their transitions and recall specific details related to past experiences. We present a new approach to enable participant reflection on past identity transitions, and a means to fill in blanks by eliciting data that may not otherwise come up: showing participants sentiment visualizations of their social media data. After detailing our methods of constructing sentiment visualizations, we discuss our experiences using them in a study on gender transition. For most participants, the visualizations elicited substantial reflection, and enabled recalling forgotten data and new interpretations of transition experiences. We guide researchers on how to use this method when studying other identity transitions; this may be especially powerful for marginalized people who undergo substantial identity changes. This article proposes a way to uncover participants’ personal histories, which can help HCI researchers to better understand and support marginalized people’s experiences.

Major life events can cause great upheaval in one's life. Many people perceive their identities to change due to major life events. During identity shifts, impression management and self-presentation, online communities, and social media affordances can allow individuals to better facilitate their experiences. To examine how people perceive their identity to change during major events and how they use social media in the process, we interviewed 28 participants who recently experienced major life events. We found that many people perceived their identity to change through various avenues that they felt were important to their identity: mental processes, identity roles, and identity fulfillment. However, some people perceive their identity to be maintained rather than changed. During identity changes or maintenance, participants utilized impression management and self-presentation to curate their online presence. Participants also used online communities to build relationships with similar others or virtual friends and enable more connections via what we call the domino effect. Social media sites also provided the affordances of editability, visibility control, and spreadability, which can help ease life transition and identity change processes.

In August 2020, the U.S. President issued an executive order to ban the Chinese-based social platform WeChat, alleging that WeChat posed a national security risk. WeChat is a vital application for Chinese diasporic communities in the United States. The ban's status was uncertain for several months before it was temporarily halted and later revoked in 2021. Through interviews with 15 WeChat users and online participant observation, this study examines the anticipated impacts of the potential WeChat ban and participants' reactions. We find that participants described negative consequences of the potential ban, including adverse network and economic effects and disruption of community-building efforts. We also find that many participants considered WeChat to be critical infrastructure in the United States, as it has become an indispensable part of their daily lives. To frame participants' experiences, we introduce the concept of infrastructural migration-the process of users relocating to another digital media service that embodies the properties and functions of infrastructure or moving to an assemblage of different applications that meet their infrastructural needs separately. We then discuss implications for designing for infrastructural migration and future considerations for HCI research with diasporic communities.

Some life transitions can be difficult to discuss on social media, especially with networks of known ties, due to challenges such as stigmatization. Separate online networks can provide alternative spaces to discuss life transitions. To understand why and how people turn to separate networks, we interviewed 28 participants who had recently experienced life transitions. While prior research tends to focus on one life transition in isolation, this work examines social media sharing behaviors across a wide variety of life transitions. We describe how people often turn to separate networks during life transitions due to challenges faced in networks of known ties, yet encounter new challenges such as difficulty locating these networks. We describe support from waiting contributors and virtual friends. Finally, we provide insight into how online separate networks can be better designed through enhancing search functionality, promoting contribution, and providing context-sensitive templates for sharing in online spaces.

Transgender people face difficulties accessing healthcare from providers, and thus often turn to online sources to seek health information. However, online platforms may not properly support trans health information seeking, and health information found online may be limited in accuracy. To examine how online platforms can best support trans health information seeking, we conducted online focus groups with trans people (n = 26) about their experiences with online health information and their needs and desires for online health information seeking platforms. We found that trans people face both facilitators and barriers to finding accurate, actionable information online. Facilitators include online community discovery, group privacy features, and the dual synchronous and asynchronous nature of online content. Barriers include platform censorship, misinformation, hate speech, and lack of tools to flag inaccurate content. We provide recommendations for how platforms can support trans health information seeking by ensuring that medical information is accurate, accessible, easy to locate, and relevant to a diverse set of trans identities and experiences.

Abstract When people experience major life changes, this often impacts their self‐presentation, networks, and online behavior in substantial ways. To effectively study major life transitions and events, we surveyed a large U.S. sample (n = 554) to create the Major Life Events Taxonomy, a list of 121 life events in 12 categories. We then applied this taxonomy to a second large U.S. survey sample (n = 775) to understand on average how much social readjustment each event required, how likely each event was to be shared on social media with different types of audiences, and how much online network separation each involved. We found that social readjustment is positively correlated with sharing on social media, with both broad audiences and close ties as well as in online spaces separate from one's network of known ties. Some life transitions involve high levels of sharing with both separate audiences and broad audiences on social media, providing evidence for what previous research has called social media as social transition machinery. Researchers can use the Major Life Events Taxonomy to examine how people's life transition experiences relate to their behaviors, technology use, and health and well‐being outcomes.

Social media sites use content moderation to attempt to cultivate safe spaces with accurate information for their users. However, content moderation decisions may not be applied equally for all types of users, and may lead to disproportionate censorship related to people's genders, races, or political orientations. We conducted a mixed methods study involving qualitative and quantitative analysis of survey data to understand which types of social media users have content and accounts removed more frequently than others, what types of content and accounts are removed, and how content removed may differ between groups. We found that three groups of social media users in our dataset experienced content and account removals more often than others: political conservatives, transgender people, and Black people. However, the types of content removed from each group varied substantially. Conservative participants' removed content included content that was offensive or allegedly so, misinformation, Covid-related, adult, or hate speech. Transgender participants' content was often removed as adult despite following site guidelines, critical of a dominant group (e.g., men, white people), or specifically related to transgender or queer issues. Black participants' removed content was frequently related to racial justice or racism. More broadly, conservative participants' removals often involved harmful content removed according to site guidelines to create safe spaces with accurate information, while transgender and Black participants' removals often involved content related to expressing their marginalized identities that was removed despite following site policies or fell into content moderation gray areas. We discuss potential ways forward to make content moderation more equitable for marginalized social media users, such as embracing and designing specifically for content moderation gray areas.

People often strive to present themselves authentically on social media, but this may not be possible for everyone. To understand how people view online authenticity, how it relates to social media sharing behaviors, and whether it is achievable, we interviewed 28 social media users who had recently experienced major life transitions. We found that to many participants, online authenticity required presenting a consistent, positive, and "true" self across online and offline contexts. Though most stated that they considered online authenticity achievable, their social media self-disclosure behaviors around life transitions revealed what we call the online authenticity paradox: people strive to achieve online authenticity, yet because doing so requires sharing negative experiences on social media, online authenticity is often unreachable, or is possible only at great personal cost - especially for those with marginalized identities and difficult life experiences.

Transgender and non-binary people face substantial challenges in the world, ranging from social inequities and discrimination to lack of access to resources. Though technology cannot fully solve these problems, technological solutions may help to address some of the challenges trans people and communities face. We conducted a series of participatory design sessions (total N = 21 participants) to understand trans people's most pressing challenges and to involve this population in the design process. We detail four types of technologies trans people envision: technologies for changing bodies, technologies for changing appearances / gender expressions, technologies for safety, and technologies for finding resources. We found that centering trans people in the design process enabled inclusive technology design that primarily focused on sharing community resources and prioritized connection between community members.

Trans people often use social media to connect with others, find and share resources, and post transition-related content. However, because most social media platforms are not built with trans people in mind and because online networks include people who may not accept one's trans identity, sharing trans content can be difficult. We studied Trans Time, a social media site developed particularly for trans people to document transition and build community. We interviewed early Trans Time users (n = 6) and conducted focus groups with potential users (n = 21) to understand how a trans-specific site uniquely supports its users. We found that Trans Time has the potential to be a safe space, encourages privacy, and effectively enables its users to selectively view content using content warnings. Together, safety, privacy, and content warnings create an online space where trans people can simultaneously build community, find support, and express both the mundanity and excitement of trans life. Yet in each of these areas, we also learned ways that the site can improve. We provide implications for how social media sites may better support trans users, as well as insular communities of people from other marginalized groups.

OBJECTIVE: Transgender people face substantial mental health disparities, and this population's emotional well-being can be particularly volatile during gender transition. Understanding gender transition sentiment patterns can positively impact transgender people by enabling them to anticipate, and put support in place for, particularly difficult time periods. Yet, tracking sentiment over time throughout gender transition is challenging using traditional research methods. This study's objective was to use social media data to understand average gender transition sentiment patterns. MATERIALS AND METHODS: Computational sentiment analysis and statistics were used to analyze 41 066 posts from 240 Tumblr transition blogs (online spaces where transgender people document gender transitions) to understand sentiment patterns over time and quantify relationships between transgender identity disclosures, sentiment, and social support. RESULTS: Findings suggest that sentiment increases over time on average throughout gender transition, particularly when people receive supportive responses to transgender identity disclosures. However, after disclosures to family members, people experienced temporary increased negative sentiment, followed by increased positive sentiment in the long term. After transgender identity disclosures on Facebook, an important means of mass disclosure, those with supportive networks experienced increased positive sentiment. CONCLUSIONS: With foreknowledge of sentiment patterns likely to occur during gender transition, transgender people and their mental healthcare professionals can prepare with proper support in place throughout the gender transition process. Social media are a novel data source for understanding transgender people's sentiment patterns, which can help reduce mental health disparities for this marginalized population during a particularly difficult time.

LGBTQ+ (lesbian, gay, bisexual, transgender, queer) individuals are at significantly higher risk for mental health challenges than the general population. Social media and online communities provide avenues for LGBTQ+ individuals to have safe, candid, semi-anonymous discussions about their struggles and experiences. We study minority stress through the language of disclosures and self-experiences on the r/lgbt Reddit community. Drawing on Meyer's minority stress theory, and adopting a combined qualitative and computational approach, we make three primary contributions, 1) a theoretically grounded codebook to identify minority stressors across three types of minority stress-prejudice events, perceived stigma, and internalized LGBTphobia, 2) a machine learning classifier to scalably identify social media posts describing minority stress experiences, that achieves an AUC of 0.80, and 3) a lexicon of linguistic markers, along with their contextualization in the minority stress theory. Our results bear implications to influence public health policy and contribute to improving knowledge relating to the mental health disparities of LGBTQ+ populations. We also discuss the potential of our approach to enable designing online tools sensitive to the needs of LGBTQ+ individuals.

As non-binary genders become increasingly prevalent, researchers face decisions in how to collect, analyze and interpret research participants' genders. We present two case studies on surveys with thousands of respondents, of which hundreds reported gender as something other than simply women or men. First, Tumblr, a blogging platform, resulted in a rich set of gender identities with very few aggressive or resistive responses; the second case study, online Fantasy Football, yielded opposite proportions. By focusing on variation rather than dismissing non-binary responses as noise, we suggest that researchers can better capture gender in a way that 1) addresses gender variation without othering or erasing non-binary respondents; and 2) minimizes "trolls'" opportunity to use surveys as a mischief platform. The analyses of these two distinct case studies find significant gender differences in community dimensions of participation in both networked spaces as well as offering a model for inclusive mixed-methods HCI research.

Social media, and people's online self-presentations and social networks, add complexity to people's experiences managing changing identities during life transitions. I use gender transition as a case study to understand how people experience liminality on social media. I qualitatively analyzed data from transition blogs on Tumblr (n=240), a social media blogging site on which people document their gender transitions, and in-depth interviews with transgender bloggers (n=20). I apply ethnographer van Gennep's liminality framework to a social media context and contribute a new understanding of liminality by arguing that reconstructing one's online identity during life transitions is a rite of passage. During life transitions, people present multiple identities simultaneously on different social media sites that together comprise what I call social transition machinery. Social transition machinery describes the ways that, for people facing life transitions, multiple social media sites and networks o"en remain separate, yet work together to facilitate life transitions.

Seeking and providing support is challenging. When people disclose sensitive information, audience responses can substantially impact the discloser's wellbeing. We use mixed methods to understandresponses toonline sexual abuse-related disclosures on Reddit. We characterize disclosure responses, then investigate relationships between post content, comment content, and anonymity. We illustrate what types of support sought and provided in posts and comments co-occur. We find that posts seeking support receive more comments, and comments from “throwaway” (i.e., anonymous) accounts are more likely on posts also from throwaway accounts. Anonymous commenting enables commenters to share intimate content such as reciprocal disclosures and supportive messages, and commenter anonymity is not associated with aggressive or unsupportive comments. We argue that anonymity is an essential factor in designing social technologies that facilitate support seekingandprovision in socially stigmatized contexts, and provide implications for social media site design. CAUTION: This article includes content about sexual abuse.

Live streaming platforms bring events from all around the world to people's computing devices. We conducted a mixed methods study including interviews (N = 42) and a survey (N = 223) to understand how people currently experience events using Facebook Live, Periscope, and Snapchat Live Stories. We identified four dimensions that make remote event viewing engaging: immersion, immediacy, interaction, and sociality. We find that both live streams and the more curated event content found on Snapchat are immersive and immediate, yet Snapchat Live Stories enable quickly switching among different views of the event. Live streams, on the other hand, offer real time interaction and sociality in a way that Snapchat Live Stories do not. However, the interaction's impact depends on comment volume, comment content, and relationship between viewer and broadcaster. We describe how people experience events remotely using these social media, and identify design opportunities around detecting exciting content, leveraging multiple viewpoints, and enabling interactivity to create engaging user experiences for remotely participating in events.

In this paper, we examine stigma related to class identity online through an empirical examination of Elite University Class Confessions (EUCC). EUCC is an online space that includes a Facebook page and a surrounding sociotechnical ecosystem. It is a community of, for, and about low-income and first generation students at an elite university. By bringing in a community that learns and engages with users' socioeconomic struggles, EUCC engenders unique restorative properties for students experiencing class stigma. EUCC's restorative properties foster new ways of understanding one's stigmatized identity through meaning- making interactions in a networked sociotechnical system. We discuss how EUCC's design shapes the nature of user interactions around class stigma, and explore in depth how people experience stigma differently through the restorative properties of EUCC.

Support seeking in stigmatized contexts is useful when the discloser receives the desired response, but it also entails social risks. Thus, people do not always disclose or seek support when they need it. One such stigmatized context for support seeking is sexual abuse. In this paper, we use mixed methods to understand abuse-related posts on reddit. First, we take a qualitative approach to understand post content. Then we use quantitative methods to investigate the use of "throwaway" accounts, which provide greater anonymity, and report on factors associated with support seeking and first-time disclosures. In addition to significant linguistic differences between throwaway and identified accounts, we find that those using throwaway accounts are significantly more likely to engage in seeking support. We also find that men are significantly more likely to use throwaway accounts when posting about sexual abuse. Results suggest that subreddit moderators and members who wish to provide support pay attention to throwaway accounts, and we discuss the importance of context-specific anonymity in support seeking.

Digital artifacts on social media can challenge individuals during identity transitions, particularly those who prefer to delete, separate from, or hide data that are representative of a past identity. This work investigates concerns and practices reported by transgender people who transitioned while active on Facebook. We analyze open-ended survey responses from 283 participants, highlighting types of data considered problematic when separating oneself from a past identity, and challenges and strategies people engage in when managing personal data in a networked environment. We find that people shape their digital footprints in two ways: by editing the self-presentational data that is representative of a prior identity, and by managing the configuration of people who have access to that self-presentation. We outline the challenging interplay between shifting identities, social networks, and the data that suture them together. We apply these results to a discussion of the complexities of managing and forgetting the digital past.

Within the CSCW community, little has been done to systematically analyze online eating disorder (ED) user generated content. In this paper, we present the results of a cross-platform content analysis of ED-related posts. We analyze the way that hashtags are used in ad-hoc ED- focused networks and present a comprehensive corpus of ED-terminology that frequently accompanies ED activities online. We provide exemplars of the types of ED-related content found online. Through this characterization of activities, we draw attention to the increasingly important role that these platforms play and how they are used and misappropriated for negative health purposes. We also outline specific challenges associated with researching these types of networks online. CAUTION: This paper includes media that could potentially be a trigger to those dealing with an eating disorder or with other self-injury illnesses. Please use caution when reading, printing, or disseminating this paper.

The Atlanta Fire Rescue Department (AFRD), like many municipal fire departments, actively works to reduce fire risk by inspecting commercial properties for potential hazards and fire code violations. However, AFRD's fire inspection practices relied on tradition and intuition, with no existing data-driven process for prioritizing fire inspections or identifying new properties requiring inspection. In collaboration with AFRD, we developed the Firebird framework to help municipal fire departments identify and prioritize commercial property fire inspections, using machine learning, geocoding, and information visualization. Firebird computes fire risk scores for over 5,000 buildings in the city, with true positive rates of up to 71% in predicting fires. It has identified 6,096 new potential commercial properties to inspect, based on AFRD's criteria for inspection. Furthermore, through an interactive map, Firebird integrates and visualizes fire incidents, property information and risk scores to help AFRD make informed decisions about fire inspections. Firebird has already begun to make positive impact at both local and national levels. It is improving AFRD's inspection processes and Atlanta residents' safety, and was highlighted by National Fire Protection Association (NFPA) as a best practice for using data to inform fire inspections.

Secondhand fashion is a rapidly growing, lucrative market with both off- and online outlets. Studies of secondhand consumption have focused primarily on people's motivations for secondhand shopping, highlighting sustainability and/or thrift. We extend this work by looking at the motivations and practices of secondhand shoppers who are driven instead by style, playfulness and treasure-hunting. We present findings from ethnographic observation and interviews with 13 secondhand shoppers. Three secondhand shopping orientations emerged. Perfection Seeking involves seeking items that fit with an individual look or personal brand. These items are seen as unique, and demonstrate an alternative to mainstream fashion and consumption. Casual curiosity is less focused, more engaged in browsing, and driven by both secondhand objects and the secondhand experience itself. Digging involves the focused pursuit of hidden "gems" or treasures, following the belief that unusual items are waiting to be found. We offer ideas for designing secondhand shopping experiences to support the needs for storytelling, experiential pleasure, and negotiation around durable value.

Self-representation online can be difficult for those who are in life transitions that involve exploring new identity facets and changes in personal style. Many desire to tailor their online representations for different audiences. Social media site profiles and sharing settings offer varying levels of anonymity, privacy, and thus safety, but these settings are often opaque and poorly understood. To understand the complex relationship between identity, personal style and online self-representation, we examine how people explore and experiment with new styles in public and in private online settings during gender transition. We present the results of interviews with transgender people who have recently reinvented their personal style, or are planning to do so in the near future. We find that people explore new styles in online settings to craft possible or ideal future selves. When involving others, people engage intimate and unknown others, but often avoid weak ties. Our results indicate that to account for changing identities, social media sites must be designed to support finding inspiration and advice from strangers and style experimentation with close friends.

Social computing technologies, such as social networking sites (SNSs), often privilege people who fit within expected, static categories. Thus, users embarking on major identity changes, such as gender transition, often encounter stress when using SNSs to interact with their online social networks. To address this problem and reflect on the design of SNSs and other social computing systems, we present the results of a comprehensive online survey of transgender and gender non-conforming SNS users. Our findings indicate that although Facebook can be a stressful place for gender transition due to difficulties of transition disclosure, support from one's Facebook network can help to mitigate some of this stress. We examine Facebook both as a site of stress and as a site of support. Better understanding the relationships between stress, disclosure, and support on SNSs for these particular users can inform technology design that will benefit people who struggle with navigating a wide range of major identity changes online.

The HIV/AIDS crisis of the 1980s fundamentally changed sexual practices of men who have sex with men (MSM) in the U.S., including increased usage of sexual health-related (SHR) language in personal advertisements. Analyzing online personal ads from Craigslist, we found a substantial increase in SHR language, from ~23% in 1988 to over 53% today, echoing continuing concern about rising HIV rates. We argue that SHR language in Craigslist ads can be used as a sensor to provide insight into HIV epidemiology as well as discourse among particular communities. We show a positive significant relationship between prevalence rate of HIV in an ad's location and use of SHR language in that location. Analysis highlights the opportunity for SHR information found in Craigslist personal ads to serve as a data source for HIV prevention research. More broadly, we argue for mining large-scale user-generated content to inform HCI design of health and other systems, and explore use of such data to examine temporal changes in language to facilitate improved user-interface design.