Machine Mediation

Machine Mediation is a theoretical construct in the study of human-technology interaction that denotes the process by which digital systems actively shape, filter, or influence human perceptions, behaviors, and decision-making through algorithmic or interface-driven interventions.

9

Publications

395

Citations

14

Authors

10

Institutions

Publications per year

2017–2026

2

Authors

14

  1. AR
    Ali Rahimi

    Intel (United States), United States

    1 publications · 24 citations

    1

    h-index

  2. TJ
    Tony Jebara

    Columbia University, United States

    1 publications · 24 citations

    1

    h-index

  3. IM
    Ivan Marsic

    Rutgers, The State University of New Jersey, United States

    1 publications · 12 citations

    1

    h-index

  4. ML
    Monique Linard

    Centre National de la Recherche Scientifique, France

    1 publications · 12 citations

    1

    h-index

  5. JL
    James L. Flanagan

    Rutgers, The State University of New Jersey, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 14

Venues

  1. Contemporary Literature

    1 publications · 73 citations

    1

    h-index

  2. American Ethnologist

    AE · 1 publications · 64 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 13 citations

    1

    h-index

  4. Science in Context

    1 publications · 115 citations

    1

    h-index

  5. Ethics and Information Technology

    1 publications · 20 citations

    1

    h-index

1–5