Algorithmic Journalism Ethics

Algorithmic Journalism Ethics is a normative framework within journalistic ethics that specifically governs the design, deployment, and accountability of algorithmic systems in news production, distinguishing itself by addressing ethical challenges arising from automation, data-driven decision-making, and artificial intelligence in journalism.

23

Publications

2.1K

Citations

41

Authors

31

Institutions

Publications per year

2017–2026

19

Authors

41

  1. KD
    Konstantin Dörr

    University of Zurich, Switzerland

    3 publications · 436 citations

    3

    h-index

  2. HR
    Henrik Rydenfelt

    University of Helsinki, Finland

    2 publications · 32 citations

    2

    h-index

  3. NT
    Neil Thurman

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 218 citations

    2

    h-index

  4. ND
    Nicholas Diakopoulos

    Northwestern University, United States

    2 publications · 610 citations

    2

    h-index

  5. JK
    Jessica Kunert

    Universität Hamburg, Germany

    2 publications · 218 citations

    2

    h-index

1–5 of 41

Venues

  1. Digital Journalism

    5 publications · 984 citations

    5

    h-index

  2. Studies in Media and Communication

    SMC · 2 publications · 105 citations

    2

    h-index

  3. Journal of Broadcasting & Electronic Media

    2 publications · 95 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 41 citations

    2

    h-index

  5. Journalism and Media

    2 publications · 131 citations

    2

    h-index

1–5