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.

This paper examines how infrastructures organize time in ways that unevenly distribute burden, access, and opportunity across communities. We draw on two ethnographic cases: eviction case filings in Atlanta, part of the state’s legal and housing governance infrastructure, and a sexual healthcare intervention in Chicago, situated within the city’s public health services. We advance HCI’s engagement with temporality by demonstrating how infrastructures sediment layers of political, social, and technical decisions over time. We conceptualize infrastructures as stratified formations where earlier allocations of power become materially and procedurally embedded, configuring present-day experiences of public systems. We define temporal arrangements as the patterned ways infrastructures shape and allocate time, producing unequal demands on who waits, who moves, and who must continually adjust. We describe two temporal arrangements—compression and gaps—to show how systems structure and constrain access to care, support, and basic services. By linking inherited infrastructural logics to everyday temporal burdens, we offer HCI a framework for examining how inequities persist through time.

This paper details an activist court-watching campaign to collect data during eviction hearings, working with a tenant’s rights organization and a legal aid group. Our work provides a thick description of compiling an agonistic data practice that studies up, fleshing out the conception brought forth by previous scholars. We describe this project’s planning, implementation, results, and challenges to demonstrate how designing data production can affect fairness and accountability in the courtroom. From our account, we offer insights for scholars wishing to contribute to data activism projects: to focus on designing data production not data products, to look for affective potential within messy data, and to shift epistemic burdens onto those who may benefit more from the data.

LGBTQ+ people have received increased attention in HCI research, paralleling a greater emphasis on social justice in recent years. However, there has not been a systematic review of how LGBTQ+ people are researched or discussed in HCI. In this work, we review all research mentioning LGBTQ+ people across the HCI venues of CHI, CSCW, DIS, and TOCHI. Since 2014, we find a linear growth in the number of papers substantially about LGBTQ+ people and an exponential increase in the number of mentions. Research about LGBTQ+ people tends to center experiences of being politicized, outside the norm, stigmatized, or highly vulnerable. LGBTQ+ people are typically mentioned as a marginalized group or an area of future research. We identify gaps and opportunities for (1) research about and (2) the discussion of LGBTQ+ in HCI and provide a dataset to facilitate future Queer HCI research.

Activists, governments, and academics regularly advocate for more open data. But how is data made open, and for whom is it made useful and usable? In this paper, we investigate and describe the work of making eviction data open to tenant organizers. We do this through an ethnographic description of ongoing work with a local housing activist organization. This work combines observation, direct participation in data work, and creating media artifacts, specifically digital maps. Our interpretation is grounded in D’Ignazio and Klein’s Data Feminism, emphasizing standpoint theory. Through our analysis and discussion, we highlight how shifting positionalities from data intermediaries to data accomplices affects the design of data sets and maps. We provide HCI scholars with three design implications when situating data for grassroots organizers: becoming a domain beginner, striving for data actionability, and evaluating our design artifacts by the social relations they sustain rather than just their technical efficacy.

Gender-based violence (GBV) is an ongoing public health issue. Prevention practice and research on GBV contend with an incomplete understanding of its public health burden due to gender-exclusive definitions of GBV and inhibited survivor disclosure. Prior work in CSCW and HCI has explored sensitive disclosures and GBV conversations but excludes examination of conversation dynamics in surfacing knowledge of GBV. We used a mixed-methods approach to understand the phenomenon characterized by Muted Group Theory as a mechanism inhibiting disclosure in the context of GBV discussions on Reddit. Using an iterative process informed by literature of GBV research on cis-gender women, girls, trans, and non-binary populations, we developed comprehensive keywords to obtain, annotate, and analyze 298 posts and 10,369 comments about GBV across 7 subreddits. We found that muting faced by survivors offline, precluding reporting, is replicated on the Reddit platform. This study surfaced 5 categories of muting in discussions of GBV situated by variations in communication norms between dominant and non-dominant groups. These findings were supported by analysis of linguistic attributes that inform an Ensemble Classifier's detection of muting in conversations of GBV. The results offer that muting is a harmful occurrence in online disclosures of GBV that is mediated by existing moderation practices. This work contributes an expanded understanding of GBV conversations online, muting as a feature of those conversations, and an initial foray into detection to inform muting prevention.

Ethnic community-based organizations (CBOs) play an essential role in supporting the wellbeing of immigrants and refugees. CBO workers often act as linguistic and cultural translators between communities, government, and health and social service systems. However, resource constraints, technological barriers, and pressures to be data-driven require workers to perform additional forms of translation to ensure their organizations’ survival. Drawing on 16 interviews with members of 7 Asian American and Pacific Islander CBOs, we examine opportunities and barriers concerning their technology-mediated work practices. We identify two circumstances where CBO workers perform translation: (1) as legitimacy work to build trust with funders and communities, and (2) as (re)mediation in attending to technological barriers and resisting hegemonic systems that treat their communities as “other.” By unpacking the politics of translation work across these sites, we position CBO workers as a critical source for HCI research and practice as it seeks to support community wellbeing.

In this paper, we describe and analyze the data practices of an activist non-profit, the Housing Justice League. We focus on their Tenant Power Hotline, a community outreach tool for tenants facing eviction and seeking organizing support. This research contributes to existing scholarship that examines data practices and the use of information and communication technologies in non-profit and grassroots organizations. To this existing scholarship, we share the structure of a counter-institution: an organization that strives to operate outside the non-profit industrial complex. We then interpret the work of Housing Justice League through the lens of care, identifying homebrewed databases and data fragmentations as negotiations between care and efficiency. We argue that care is enacted through the assemblage of the technical systems, and present tinkering as an alternative approach to developing data practices.?