Queer Zineographies

Materializing Tactics for Resisting AI and Data Systems

Conference Paper (2026)
Author(s)

Alexandra Teixeira Riggs (Georgia Institute of Technology)

Louie Søs Meyer (IT University of Copenhagen)

Molly O'Reilly-Kime (Lancaster University)

Tommaso Armstrong (University of Technology Sydney)

Kay Kender (Technische Universität Wien)

Ekat Osipova (Technische Universität Wien)

Anh Ton Tran (Georgia Institute of Technology)

Jordan Taylor (Carnegie Mellon University)

Grace Leonora Turtle (TU Delft - Industrial Design Engineering)

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Research Group
Society, Culture and Critique
DOI related publication
https://doi.org/10.1145/3800645.3812834 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Society, Culture and Critique
Pages (from-to)
1574-1592
Publisher
ACM
ISBN (electronic)
9798400725630
Event
ACM conference on Designing Interactive Systems, DIS 2026 (2026-06-13 - 2026-06-17), Singapore, Singapore
Page Views
26
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Abstract

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.