Algorithmic Folklore

Algorithmic Folklore is a genre of digital folklore in which emergent cultural narratives, practices, and beliefs arise from and circulate within human interactions with algorithmically mediated environments, distinguished by its reliance on the operational logic and affordances of algorithms as co-constitutive elements of folkloric formation.

6

Publications

608

Citations

15

Authors

14

Institutions

Publications per year

2017–2026

6

Authors

15

  1. MW
    Mohamed Wahib

    RIKEN Center for Computational Science, Japan

    1 publications · 14 citations

    1

    h-index

  2. LS
    Laura Savolainen

    University of Helsinki, Finland

    1 publications · 118 citations

    1

    h-index

  3. NR
    Negar Rostamzadeh

    Google (United States), United States

    1 publications · 27 citations

    1

    h-index

  4. NA
    Nazanin Andalibi

    University of Michigan, United States

    1 publications · 305 citations

    1

    h-index

  5. JD
    Jens Domke

    Tokyo Institute of Technology, Japan

    1 publications · 14 citations

    1

    h-index

1–5 of 15

Venues

  1. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 434 citations

    2

    h-index

  2. Acta Ethnographica Hungarica

    1 publications · 15 citations

    1

    h-index

  3. 1

    h-index

  4. Media Culture & Society

    1 publications · 118 citations

    1

    h-index

  5. Social Media + Society

    1 publications · 11 citations

1–5