Ribeiro, MH;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Stringhini, G;
Long, S;
Greenberg, S;
(2021)
The Evolution of the Manosphere across the Web.
In: Budak, C and Cha, M and Quercia, D and Xie, L, (eds.)
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 196-207).
Association for the Advancement of Artificial Intelligence (AAAI) Press
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Abstract
We present a large-scale characterization of the Manosphere, a conglomerate of Web-based misogynist movements focused on men's issues, which has prospered online. Analyzing 28.8M posts from 6 forums and 51 subreddits, we paint a comprehensive picture of its evolution across the Web, showing the links between its different communities over the years. We find that milder and older communities, such as Pick Up Artists and Men's Rights Activists, are giving way to more extreme ones like Incels and Men Going Their Own Way, with a substantial migration of active users. Moreover, our analysis suggests that these newer communities are more toxic and misogynistic than the older ones.
| Type: | Proceedings paper |
|---|---|
| Title: | The Evolution of the Manosphere across the Web |
| Event: | The Fifteenth International AAAI Conference on Web and Social Media |
| ISBN-13: | 978-1-57735-869-5 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ojs.aaai.org/index.php/ICWSM/article/view/... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Qualitative and quantitative studies of social media, Organizational and group behavior mediated by social media; interpersonal communication mediated by social media |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10131749 |
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