Recommender System Governance

Recommender System Governance is a form of platform governance that specifically regulates the design, operation, and impact of algorithmic recommendation systems to ensure transparency, accountability, fairness, and user autonomy within digital environments.

10

Publications

824

Citations

34

Authors

29

Institutions

Publications per year

2017–2026

10

Authors

34

  1. CM
    Connie Moon Sehat

    University of Washington, United States

    2 publications · 110 citations

    2

    h-index

  2. TM
    Tanushree Mitra

    Virginia Tech, United States

    2 publications · 110 citations

    2

    h-index

  3. LB
    Lex Beattie

    Photon Spot (United States), United States

    2 publications · 110 citations

    2

    h-index

  4. MA
    McKane Andrus

    Partners In Health, United States

    2 publications · 110 citations

    2

    h-index

  5. AX
    Amy X. Zhang

    University of Washington, United States

    2 publications · 110 citations

    2

    h-index

1–5 of 34

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 107 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

  3. Digital Journalism

    1 publications · 22 citations

    1

    h-index

  4. AI & Society

    1 publications · 503 citations

    1

    h-index

  5. ACM Transactions on Recommender Systems

    1 publications · 96 citations

    1

    h-index

1–5