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Predicting homosexuality in the age of artificial intelligence: an analysis of three technoscientific controversies

Marionneau, Ambre et Myles, David ORCID logoORCID: https://orcid.org/0000-0001-8755-3633 (2024). Predicting homosexuality in the age of artificial intelligence: an analysis of three technoscientific controversies Canadian journal of communication , vol. 49 , nº 3. pp. 456-485. DOI: 10.3138/cjc-2023-0036.

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Résumé

Digital platforms are involved in a reconfiguration of imaginaries surrounding the prediction of homosexuality. Analysis: This article analyzes three technoscientific controversies. The first addresses the prediction of users' sexual orientation based on the content they like on Facebook. The second deals with facial recognition software aimed at predicting homosexuality. Finally, the third focuses on the alleged ability of TikTok's algorithms to influence the sexual orientation of its users. Conclusion and implications: Analyzing the diverse imaginaries around prediction allows us to understand the concerns that various social actors share about artificial intelligence and its implications for LGBTQ+ communities.

Type de document: Article
Mots-clés libres: intelligence artificielle; communautés LGBTQ+; controverses technoscientifiques; imaginaires; prédiction
Centre: Centre Urbanisation Culture Société
Date de dépôt: 13 avr. 2026 18:04
Dernière modification: 13 avr. 2026 18:04
URI: https://espace.inrs.ca/id/eprint/17051

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