Algorithmic Moderation is a computational method for content governance on digital platforms that distinguishes itself by automatically detecting, evaluating, and managing user-generated speech through rule-based systems or machine learning models rather than human judgment.
40
Publications
3K
Citations
86
Authors
58
Institutions
Publications per year
2017–2026
39
Parents
Publications
40
Christian Katzenbach, Lena Ulbricht · Internet Policy Review · 2019 · 296 citations · Full text
Do Not Recommend? Reduction as a Form of Content Moderation
Tarleton Gillespie · Social Media + Society · 2022 · 181 citations · Full text
1–5 of 40
Authors
86
- RB
3
h-index
- CKChristian Katzenbach
Alexander von Humboldt Institute for Internet and Society, Germany
3 publications · 1.4K citations
3
h-index
- ES
2
h-index
- RM
2
h-index
- RG
2
h-index
1–5 of 86
Institutions
58
University of Oxford
Oxford, United Kingdom
4 h-index
8 publications
2.2K citations
Cornell University
Ithaca, United States
4 h-index
9 publications
425 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
6 publications
165 citations
Pennsylvania State University
State College, United States
3 h-index
5 publications
338 citations
Alexander von Humboldt Institute for Internet and Society
Berlin, Germany
3 h-index
3 publications
1.4K citations
University of Michigan
Ann Arbor, United States
2 h-index
5 publications
133 citations
Washington and Lee University
Lexington, United States
2 h-index
2 publications
109 citations
Gordon College
Wenham, United States
2 h-index
2 publications
109 citations
1–8 of 58
Venues
- Big Data & Society
4 publications · 1.1K citations
4
h-index
- Social Media + Society
3 publications · 285 citations
3
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- Proceedings of the ACM on Human-Computer Interaction
PACMHCI · 3 publications · 191 citations
3
h-index
- Proceedings of the International AAAI Conference on Web and Social Media
2 publications · 94 citations
2
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- Journal of Information Technology
JIT · 2 publications · 94 citations
2
h-index
1–5