Moderation Automation
Moderation Automation is a computational framework within platform governance that systematically identifies, evaluates, and acts upon user-generated content in accordance with community standards through algorithmic decision-making, distinguishing it from human-led moderation by its reliance on automated detection, classification, and enforcement mechanisms.
8
Publications
734
Citations
24
Authors
12
Institutions
Publications per year
2017–2026
5
8
Content moderation, AI, and the question of scale
Tarleton Gillespie · Big Data & Society · 2020 · 417 citations · Full text
Charlotte Schluger, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil et al. · Proceedings of the ACM on Human-Computer Interaction · 2022 · 34 citations · Full text
1–5 of 8
24
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1–5 of 24
12

Cornell University
Ithaca, United States
1 h-index
4 publications
136 citations
University of Michigan
Ann Arbor, United States
1 h-index
3 publications
438 citations
Microsoft Research New England (United States)
Cambridge, United States
1 h-index
1 publications
417 citations
University of Münster
Münster, Germany
1 h-index
1 publications
15 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
2 publications
38 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
417 citations
Technical University of Munich
Munich, Germany
1 h-index
3 publications
69 citations
Institute of Information Science, Academia Sinica
Taipei, Taiwan
1 h-index
2 publications
22 citations
1–8 of 12
PACMHCI · 3 publications · 203 citations
3
h-index
1 publications · 417 citations
1
h-index
Conference · 1 publications · 69 citations
1
h-index
1 publications · 11 citations
1–4