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

Authors

24

  1. CG
    Chaitrali Gandhi

    University of Michigan, United States

    1 publications · 146 citations

    1

    h-index

  2. AA
    Andrew Arnt

    University of Massachusetts Amherst, United States

    1 publications · 19 citations

    1

    h-index

  3. KL
    Karen Levy

    Cornell University, United States

    1 publications · 34 citations

    1

    h-index

  4. CS
    Charlotte Schluger

    Brigham and Women's Hospital, United States

    1 publications · 34 citations

    1

    h-index

  5. JL
    Jie Ling

    University of Münster, Germany

    1 publications · 15 citations

    1

    h-index

1–5 of 24

Venues

  1. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 3 publications · 203 citations

    3

    h-index

  2. Big Data & Society

    1 publications · 417 citations

    1

    h-index

  3. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 69 citations

    1

    h-index

  4. Multimedia Tools and Applications

    1 publications · 11 citations

1–4