JOURNAL ARTICLE

The potential of alternative media ecologies in countering gender and sexuality-based discrimination: A queer utopian perspective on LGBTQIA+ community news in Ireland.

  • Published In: Journal of Language & Discrimination, 2024, v. 8, n. 2. P. 238 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Ryan, Mark 3 of 3

Abstract

The article examines the potential of alternative media ecologies, specifically the community-led Gay Community News (GCN) Magazine in Ireland, to counter gender- and sexuality-based discrimination through transformative and radical representations of LGBTQIA+ identities. Using a queer utopian theoretical framework based on José Esteban Muñoz's concepts of disidentification and queer futurity, combined with corpus-assisted discourse studies (CADS) and corpus-assisted multimodal discourse analysis (CAMDA), the study analyzes linguistic and visual data from GCN Magazine (2017–2021). Findings reveal that while GCN foregrounds mainstream LGBTQIA+ identities such as gay, lesbian, and trans, more minoritized identities like intersex and non-binary are less frequent and framed within limited discourse domains, notably healthcare and activism. The magazine also emphasizes activism and intergroup solidarity, addressing broader social injustices beyond LGBTQIA+ issues, though visual representation remains predominantly white and cisgender. Overall, the study argues that GCN Magazine exemplifies both limiting and transformative practices, offering a nuanced, community-driven platform that challenges mainstream media norms and fosters inclusive visions of LGBTQIA+ futures in Ireland.

Additional Information

  • Source:Journal of Language & Discrimination. 2024/11, Vol. 8, Issue 2, p238
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2024
  • ISSN:2397-2637
  • DOI:10.3138/jld-2024-0106
  • Accession Number:183353507
  • Copyright Statement:Copyright of Journal of Language & Discrimination is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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