Ging, Debbie
ORCID: 0000-0002-6664-5560, Baker, Catherine
ORCID: 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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