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Recommending Toxicity: The role of algorithmic recommender functions on YouTube Shorts and TikTok in promoting male supremacist influencers. Summary Report

Ging, Debbie orcid logoORCID: 0000-0002-6664-5560, Baker, Catherine orcid logoORCID: 0000-0003-3838-0937 and Brandt Andreasen, Maja (2024) Recommending Toxicity: The role of algorithmic recommender functions on YouTube Shorts and TikTok in promoting male supremacist influencers. Summary Report. Project Report. DCU Anti-Bullying Centre, Dublin City University.

Abstract
There has been growing concern in recent years about the role of recommender algorithms in promoting extreme content to social media users. The growth of influencer culture on TikTok, in particular, has platformed a significant number of highly influential ideological entrepreneurs such as Andrew Tate, Myron Gaines and Sneako. This monetization of male insecurity not only serves to mainstream anti-feminist and anti-LGBTQ ideology, but may also function as a gateway to fringe Far-Right and other extreme worldviews.
Metadata
Item Type:Monograph (Project Report)
Refereed:Yes
Uncontrolled Keywords:Cyberbullying
Subjects:Computer Science > Computer networks
Computer Science > World Wide Web
Social Sciences > Political science
Social Sciences > Racism
DCU Faculties and Centres:DCU Faculties and Schools > Institute of Education
Research Institutes and Centres > DCU Anti-Bullying Centre (ABC)
Publisher:DCU Anti-Bullying Centre, Dublin City University
Official URL:https://www.dcu.ie/antibullyingcentre
Copyright Information:Authors
ID Code:31681
Deposited On:16 Oct 2025 09:59 by Gordon Kennedy . Last Modified 16 Oct 2025 09:59
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