Ethics Of Algorithmic Recommendation

Ethics of Algorithmic Recommendation is a normative framework that specifies the moral principles and accountability criteria governing the design, deployment, and impact of algorithmic systems that curate, personalize, or prioritize content, products, or services for users in digital environments.

46

Publications

1.7K

Citations

123

Authors

65

Institutions

Publications per year

2017–2026

40

Authors

123

  1. NH
    Natali Helberger

    University of Amsterdam, Netherlands

    4 publications · 247 citations

    4

    h-index

  2. NK
    Nils Köbis

    University of Amsterdam, Netherlands

    2 publications · 75 citations

    2

    h-index

  3. RM
    Rainer Michael Rilke

    University of Cologne, Germany

    2 publications · 75 citations

    2

    h-index

  4. ML
    Margarita Leib

    University of Amsterdam, Netherlands

    2 publications · 75 citations

    2

    h-index

  5. IV
    Isabel Valera

    Max Planck Institute for Software Systems, Germany

    2 publications · 88 citations

    2

    h-index

1–5 of 123

Venues

  1. AI & Society

    3 publications · 75 citations

    3

    h-index

  2. Minds and Machines

    2 publications · 132 citations

    2

    h-index

  3. UvA-DARE (University of Amsterdam)

    Repository · 2 publications · 172 citations

    2

    h-index

  4. Computers in Human Behavior

    1 publications · 35 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 88 citations

    2

    h-index

1–5