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"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks

Mariconti, E; Suarez-Tangil, G; Blackburn, J; Cristofaro, ED; Kourtellis, N; Leontiadis, I; Serrano, JL; (2018) "You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. In: Gilbert, Eric and Karahalios, Karrie, (eds.) Proceedings of the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’19). (pp. p. 207). ACM (Association for Computing Machinery): New York, NY, USA. Green open access

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Abstract

Video sharing platforms like YouTube are increasingly targeted by aggression and hate attacks. Prior work has shown how these attacks often take place as a result of “raids,” i.e., organized efforts by ad-hoc mobs coordinating from third-party communities. Despite the increasing relevance of this phenomenon, however, online services often lack effective countermeasures to mitigate it. Unlike well-studied problems like spam and phishing, coordinated aggressive behavior both targets and is perpetrated by humans, making defense mechanisms that look for automated activity unsuitable. Therefore, the de-facto solution is to reactively rely on user reports and human moderation. In this paper, we propose an automated solution to identify YouTube videos that are likely to be targeted by coordinated harassers from fringe communities like 4chan. First, we characterize and model YouTube videos along several axes (metadata, audio transcripts, thumbnails) based on a ground truth dataset of videos that were targeted by raids. Then, we use an ensemble of classifiers to determine the likelihood that a video will be raided with very good results (AUC up to 94%). Overall, our work provides an important first step towards deploying proactive systems to detect and mitigate coordinated hate attacks on platforms like YouTube.

Type: Proceedings paper
Title: "You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks
Event: 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’19), 9-13 November 2019, Austin, TX, USA
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3359309
Publisher version: https://doi.org/10.1145/3359309
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.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10084633
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