Algorithmic Inequality

Algorithmic Inequality is a theoretical construct within the study of digital divide that denotes systemic disparities in access to, participation in, or benefits derived from algorithmic systems, arising from asymmetrical design, deployment, or governance of computational decision-making processes across different social groups.

64

Publications

15.8K

Citations

150

Authors

92

Institutions

Publications per year

2017–2026

59

Authors

150

  1. MZ
    Mike Zajko

    University of British Columbia, Canada

    2 publications · 252 citations

    2

    h-index

  2. CL
    Christoph Lutz

    BI Norwegian Business School, Norway

    2 publications · 452 citations

    2

    h-index

  3. KC
    Kelley Cotter

    Pennsylvania State University, United States

    2 publications · 118 citations

    2

    h-index

  4. BC
    Bianca C. Reisdorf

    University of North Carolina at Charlotte, United States

    2 publications · 118 citations

    2

    h-index

  5. HK
    Haytham Karar

    American University, United States

    1 publications · 32 citations

    1

    h-index

1–5 of 150

Venues

  1. Big Data & Society

    4 publications · 160 citations

    4

    h-index

  2. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 2 publications · 1K citations

    2

    h-index

  3. Information Communication & Society

    ICS · 2 publications · 689 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Computers in Human Behavior

    2 publications · 376 citations

    2

    h-index

1–5