Human Content Moderation
Human Content Moderation is a systematic content moderation approach that relies on human judgment and decision-making to evaluate, filter, or manage user-generated content, distinguishing it from automated or algorithmic moderation methods by its dependence on cognitive, contextual, and ethical reasoning inherent to human reviewers.
15
Publications
716
Citations
40
Authors
32
Institutions
Publications per year
2017–2026
13
Parents
15
Ellen Simpson, Bryan Semaan · Proceedings of the ACM on Human-Computer Interaction · 2021 · 216 citations
Enrico Mariconti, Guillermo Suárez‐Tangil, Jeremy Blackburn et al. · Proceedings of the ACM on Human-Computer Interaction · 2019 · 68 citations
1–5 of 15
40
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 40
32
University College London
London, United Kingdom
2 h-index
4 publications
168 citations
King's College London
London, United Kingdom
2 h-index
2 publications
84 citations
Telefónica (Spain)
Madrid, Spain
1 h-index
2 publications
32 citations
The University of Law
London, United Kingdom
1 h-index
1 publications
18 citations

National Taiwan University
Taipei, Taiwan
1 h-index
1 publications
48 citations
Samsung (United States)
Ridgefield Park, United States
1 h-index
1 publications
16 citations

University of Alabama at Birmingham
Birmingham, United States
1 h-index
1 publications
68 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
14 citations
1–8 of 32
PACMHCI · 2 publications · 284 citations
2
h-index
ISR · 2 publications · 64 citations
2
h-index
Repository · 1 publications · 16 citations
1
h-index
FPQ · 1 publications · 17 citations
1
h-index
1 publications · 38 citations
1
h-index
1–5