Hate Raids on Twitch: Understanding Real-Time Human-Bot Coordinated Attacks in Live Streaming Communities
Document Type
Article
Publication Date
10-4-2023
Abstract
Online harassment and content moderation have been well-documented in online communities. However, new contexts and systems always bring new ways of harassment and need new moderation mechanisms. This study focuses on hate raids, a form of group attack in real-time in live streaming communities. Through a qualitative analysis of hate raids discussion in the Twitch subreddit (r/Twitch), we found that (1) hate raids as a human-bot coordinated group attack leverages the live stream system to attack marginalized streamers and other potential groups with(out) breaking the rules, (2) marginalized streamers suffer compound harms with insufficient support from the platform, (3) moderation strategies are overwhelmingly technical, but streamers still struggle to balance moderation and participation considering their marginalization status and needs. We use affordances as a lens to explain how hate raids happens in live streaming systems and propose moderation-by-design as a lens when developing new features or systems to mitigate the potential abuse of such designs.
Identifier
85174532624 (Scopus)
Publication Title
Proceedings of the ACM on Human Computer Interaction
External Full Text Location
https://doi.org/10.1145/3610191
e-ISSN
25730142
Issue
CSCW2
Volume
7
Grant
1928627
Fund Ref
National Science Foundation
Recommended Citation
Cai, Jie; Chowdhury, Sagnik; Zhou, Hongyang; and Wohn, Donghee Yvette, "Hate Raids on Twitch: Understanding Real-Time Human-Bot Coordinated Attacks in Live Streaming Communities" (2023). Faculty Publications. 1387.
https://digitalcommons.njit.edu/fac_pubs/1387