Algorithmic Public Sphere

The Algorithmic Public Sphere is a conceptual framework within algorithmic culture that denotes a digitally mediated public space where algorithmic systems shape the production, circulation, and reception of discursive content, thereby reconfiguring participatory dialogue and power relations among users, platforms, and institutions in ways distinct from traditional public spheres.

35

Publications

4.1K

Citations

51

Authors

29

Institutions

Publications per year

2017–2026

20

Authors

51

  1. JL
    Jiebo Luo

    University of Rochester, United States

    2 publications · 60 citations

    2

    h-index

  2. AR
    Antoinette Rouvroy

    Centre de Recherche en Informatique, France

    2 publications · 98 citations

    2

    h-index

  3. WQ
    Weihong Qi

    University of Zurich, Switzerland

    2 publications · 60 citations

    2

    h-index

  4. HL
    Hanjia Lyu

    University of Rochester, United States

    2 publications · 60 citations

    2

    h-index

  5. JP
    Jinsheng Pan

    Tsinghua University, China

    2 publications · 60 citations

    2

    h-index

1–5 of 51

Venues

  1. New Media & Society

    3 publications · 1.1K citations

    3

    h-index

  2. eScholarship (California Digital Library)

    Repository · 2 publications · 49 citations

    2

    h-index

  3. Telematics and Informatics

    2 publications · 85 citations

    2

    h-index

  4. Big Data & Society

    2 publications · 547 citations

    2

    h-index

  5. Development

    2 publications · 135 citations

    2

    h-index

1–5