research-article

Open access

"Do You Ladies Relate?": Experiences of Gender Diverse People in Online Eating Disorder Communities

Authors:

Jessica L. Feuston,

Michael Ann DeVito,

Morgan Klaus Scheuerman,

Katy Weathington,

Marianna Benitez,

Bianca Z. Perez,

Lucy Sondheim, and

Jed R. BrubakerAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2

Article No.: 420, Pages 1 - 32

https://doi.org/10.1145/3555145

Published: 11 November 2022 Publication History

Abstract

The study of eating disorders online has a long tradition within CSCW and HCI scholarship. Research within this body of work highlights the types of content people with eating disorders post as well as the ways in which individuals use online spaces for acceptance, connection, and support. However, despite nearly a decade of research, online eating disorder scholarship in CSCW and HCI rarely accounts for the ways gender shapes online engagement. In this paper, we present empirical results from interviews with 14 trans people with eating disorders. Our findings illustrate how working with gender as an analytic lens allowed us to produce new knowledge about the embodiment of participation in online eating disorder spaces. We show how trans people with eating disorders use online eating disorder content to inform and set goals for their bodies and how, as gender minorities within online eating disorder spaces, trans people occupy marginal positions that make them more susceptible to harms, such as threats to eating disorder validity and gender authenticity. In our discussion, we consider life transitions in the context of gender and eating disorders and address how online eating disorder spaces operate as social transition machinery. We also call attention to the labor associated with online participation as a gender minority within online eating disorder spaces, outlining several design recommendations for supporting the ways trans people with eating disorders use online spaces. CONTENT WARNING: This paper is about the online experiences of trans people with eating disorders. We discuss eating disorders, related content (e.g., thinspiration) and practices (e.g., binge eating, restriction), and gender dysphoria. Please read with caution.

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Cited By

Kurdi MAlbadi NMishra S(2024)Ten Seconds Can Last Longer: Prevalence, Impact, and User Perceptions of Food Cues on SnapchatProceedings of the ACM on Human-Computer Interaction10.1145/36374048:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637404
Sobey A(2024)Conceptualising Fatness within HCI: A Call for Fat LiberationProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642199(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642199
Chancellor SFeuston JChang J(2023)Contextual Gaps in Machine Learning for Mental Illness Prediction: The Case of Diagnostic DisclosuresProceedings of the ACM on Human-Computer Interaction10.1145/36101817:CSCW2(1-27)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610181
Show More Cited By

Index Terms

"Do You Ladies Relate?": Experiences of Gender Diverse People in Online Eating Disorder Communities
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 6, Issue CSCW2

CSCW

November 2022

8205 pages

EISSN:2573-0142

DOI:10.1145/3571154

Editor:
Jeff Nichols
Google

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Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

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Published: 11 November 2022

Published in PACMHCI Volume 6, Issue CSCW2

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Cited By

Kurdi MAlbadi NMishra S(2024)Ten Seconds Can Last Longer: Prevalence, Impact, and User Perceptions of Food Cues on SnapchatProceedings of the ACM on Human-Computer Interaction10.1145/36374048:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637404
Sobey A(2024)Conceptualising Fatness within HCI: A Call for Fat LiberationProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642199(1-14)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642199
Chancellor SFeuston JChang J(2023)Contextual Gaps in Machine Learning for Mental Illness Prediction: The Case of Diagnostic DisclosuresProceedings of the ACM on Human-Computer Interaction10.1145/36101817:CSCW2(1-27)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3610181
Hansson KBardzell SBhandari ABoulicault MDoyle DErete SCerratto Pargman TLazem SMuller MNormark MPetterson ARosén ATaylor AThomas JWatson J(2023)A Toolbox of Feminist Wonder: Theories and methods that can make a differenceCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3611295(476-480)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3611295
Payne BTaylor JSpiel KFiesler C(2023)How to Ethically Engage Fat People in HCI ResearchCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3606987(117-121)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3606987

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