Algorithmic Persuasion

Algorithmic Persuasion is a computational method that systematically shapes user beliefs, attitudes, or behaviors through data-driven, automated rhetorical strategies, distinguishing itself from traditional persuasion by its reliance on algorithmic logic, scalability, and real-time adaptive personalization.

53

Publications

2.3K

Citations

149

Authors

73

Institutions

Publications per year

2017–2026

42

Authors

149

  1. OS
    Oliviero Stock

    University of Haifa, Israel

    3 publications · 43 citations

    3

    h-index

  2. MG
    Marco Guerini

    Fondazione Bruno Kessler, Italy

    3 publications · 43 citations

    3

    h-index

  3. HV
    Hilde Voorveld

    University of Amsterdam, Netherlands

    2 publications · 84 citations

    2

    h-index

  4. PN
    Preslav Nakov

    Sofia University "St. Kliment Ohridski", Bulgaria

    2 publications · 102 citations

    2

    h-index

  5. RG
    Riccardo Gallotti

    Fondazione Bruno Kessler, Italy

    2 publications · 145 citations

    2

    h-index

1–5 of 149

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 63 citations

    4

    h-index

  2. International Journal of Advertising

    IJA · 3 publications · 186 citations

    3

    h-index

  3. Computers in Human Behavior

    2 publications · 67 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 83 citations

    2

    h-index

  5. Journal of Management Information Systems

    JMIS · 2 publications · 206 citations

    2

    h-index

1–5