Algorithms and “elderqueers”: An exploration of intergenerational exchanges about sexual identity on TikTok

Research supported by funding from the Québec Fonds de recherche – Société et culture

Principal Investigator: Stefanie Duguay, Concordia University

Project Duration: 2022-2025

Social media platforms have played a key role in the lives of lesbian, gay, bisexual, transgender, and queer (LGBTQ) people as outlets for self-representation, socialization, and the circulation of counterpublic discourse. As the short video platform TikTok has seen rapid uptake in recent years, LGBTQ people appear to be using this platform for similar purposes. However, TikTok has become embroiled in controversies over the unexplained removal and censorship of LGBTQ content. When a 2019 investigation found that the platform’s internal moderation guidelines inhibited the visibility of LGBTQ content, TikTok claimed to abandon this policy in favor of more equitable moderation. Yet LGBTQ users regularly mention having content removed while striving for increased visibility through appeals to their followers or strategic hashtag use.

Among these LGBTQ creators are individuals whose content expresses sexual identity alongside their identification as older TikTok users. Applying hashtags like #elderqueer, #gayover30, and #oldlesbian to posts, these users showcase their everyday lives alongside advice addressed to the platform’s predominantly younger user base. Given that much TikTok research has focused on popular trends among youth, this study shifts to an exploration of older LGBTQ TikTokers and intergenerational exchanges. Its objectives include: 1) Understanding how LGBTQ individuals over thirty use the platform; 2) Examining how the platform’s technical interface, governance structure, and business model shape the content and experiences of these “elder” TikTokers; and 3) Analyzing the messages shared to young LGBTQ individuals and the responses they garner. These objectives will be addressed through mixed qualitative methods, beginning with collection and analysis of LGBTQ elders’ content and audience responses (e.g. comments, likes, shares, and other metrics), followed by semi-structured interviews with LGBTQ elder creators.