Computer Science
Understanding Hate Group Videos on YouTube
Document Type
Conference Paper
Abstract
Hate content warning: This paper contains hate ideology content that may cause discomfort. As the largest video-sharing platform, YouTube has been known for hosting hate ideology content that could lead to between-group conflicts and extremism. Research has examined search algorithms and the creator-fan networks related to radicalization videos on YouTube. However, there is little grounded theory analysis of videos of hate groups to understand how hate groups present to the viewers and discuss social problems, solutions, and actions. This work presents a preliminary analysis of 96 videos using open-coding and affinity diagramming to identify common video styles created by the U.S. hate ideology groups. We also annotated hate videos' diagnostic, prognostic, and motivational framing to understand how the hate groups utilize video-sharing platforms to promote collective actions.
Publication Title
Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Publication Date
2022
First Page
32
Last Page
36
ISBN
9781450391900
DOI
10.1145/3500868.3559465
Keywords
collective action, hate ideology, YouTube
Repository Citation
Niu, Shuo; Veazey, Keegan; Pagan, Phoenix; and Ghimire, Abhisan, "Understanding Hate Group Videos on YouTube" (2022). Computer Science. 158.
https://commons.clarku.edu/faculty_computer_sciences/158
APA Citation
Niu, S., Veazey, K., Pagan, P., & Ghimire, A. (2022, November). Understanding Hate Group Videos on YouTube. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (pp. 32-36).