DEAR BABY GAYS: INVESTIGATING THE SOCIOTECHNICAL PRACTICES OF OLDER LGBTQ+ TIKTOK USERS

Authors

  • Stefanie Duguay Concordia University, Canada
  • Özgem Elif Acar Concordia University
  • Hannah Jamet-Lange Concordia University

DOI:

https://doi.org/10.5210/spir.v2023i0.13415

Keywords:

TikTok, sexuality, age, affordances, LGBTQ+

Abstract

Much scholarship and public discourse alike focus on TikTok’s widespread uptake by young people, including LGBTQ+ youth. However, LGBTQ+ people on the platform often experience challenges relating to visibility and censorship. As users of a variety of ages have joined TikTok’s youthful population, this paper explores the sociotechnical practices of older LGBTQ+ TikTok users as they emerge from, and are shaped by, the platform and its user cultures. It does so through an analysis of older LGBTQ+ TikTokers’ videos and metadata, gathered through novel methods for configuring research accounts to serve up this content to the For You page. Once the accounts were trained to deliver this content through TikTok’s personalized algorithmic curation, videos were collected for one hour per day over a duration of approximately 4 weeks for each account. Preliminary visual and textual analysis of videos indicates recurrent themes related to constructing identities that intersect age with sexual identity, giving advice, sharing about personal experiences and queer history, and circulating counter-discourses against homophobia and transphobia as well as messages of solidarity with targets of discrimination. Analysis of how these users negotiate TikTok’s affordances also indicates that platform’s features, policies, and dominant user practices permeate and shape older LGBTQ+ TikTokers’ self-representations, such that the platform and modes of paying attention to it have become a central element of their content.

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Published

2023-12-31

How to Cite

Duguay, . S., Acar, Özgem E., & Jamet-Lange, H. (2023). DEAR BABY GAYS: INVESTIGATING THE SOCIOTECHNICAL PRACTICES OF OLDER LGBTQ+ TIKTOK USERS. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2023i0.13415

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Section

Papers D