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

Authors

40

  1. GS
    Guillermo Suárez‐Tangil

    Universidad Carlos III de Madrid, Spain

    2 publications · 84 citations

    2

    h-index

  2. ED
    Emiliano De Cristofaro

    University College London, United Kingdom

    2 publications · 84 citations

    2

    h-index

  3. JB
    Jeremy Blackburn

    University College London, United Kingdom

    2 publications · 84 citations

    2

    h-index

  4. GS
    Gianluca Stringhini

    University College London, United Kingdom

    2 publications · 84 citations

    2

    h-index

  5. EM
    Enrico Mariconti

    University College London, United Kingdom

    2 publications · 84 citations

    2

    h-index

1–5 of 40

Venues

  1. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 284 citations

    2

    h-index

  2. Information Systems Research

    ISR · 2 publications · 64 citations

    2

    h-index

  3. OpenBU (Boston University)

    Repository · 1 publications · 16 citations

    1

    h-index

  4. Feminist Philosophy Quarterly

    FPQ · 1 publications · 17 citations

    1

    h-index

  5. Computers in Human Behavior

    1 publications · 38 citations

    1

    h-index

1–5