Gayservatives on Gab: LGBTQ+ Communities and Far Right Social Media

Evan Brody, Spencer P. Greenhalgh, Mehroz Sajjad

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In the United States, LGBTQ+ individuals are often imagined as inherently politically progressive, but this assumption overlooks the experiences of self-identified LGBTQ+ conservatives. Likewise, although social media platforms are recognized as spaces of identity and community production for LGBTQ+ people generally, less work has considered how they provide a similar forum for “gayservatives.” In response, this article engages in a critical discourse analysis of LGBTQ+-oriented groups on the far right social media platform Gab. Results indicate that far right social media is utilized to connect with other politically similar LGBTQ+ individuals perceived to be absent in one’s offline community. Participants do so via discourses that both regulate and celebrate LGBTQ+ identities, particularly as it relates to hegemonic masculinity. These strategies generally reinforce, but at times reframe, stereotypical narratives about LGBTQ+ individuals. This study provides groundwork for more nuanced understandings of both LGBTQ+ conservatives and the ways power is socialized and embodied through discourses about sexual and gender identities.

Original languageEnglish
JournalSocial Media and Society
Volume8
Issue number4
DOIs
StatePublished - Oct 1 2022

Bibliographical note

Publisher Copyright:
© The Author(s) 2022.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by an SDR-XI collaborative research grant from the College of Communication and Information at the University of Kentucky.

FundersFunder number
University of Kentucky

    Keywords

    • Gab
    • LGBTQ+
    • discourse analysis
    • far right
    • hegemonic masculinity

    ASJC Scopus subject areas

    • Cultural Studies
    • Communication
    • Computer Science Applications

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