Bot-driven Amplification

Bot-Driven Amplification is a systematic media manipulation technique in which coordinated networks of automated social media accounts (bots) artificially enhance the visibility and perceived popularity of specific content through rapid, repetitive dissemination and engagement, distinguishing it from organic amplification by its synthetic, scalable, and algorithmically exploitative nature.

5

Publications

625

Citations

18

Authors

7

Institutions

Publications per year

2017–2026

5

Authors

18

  1. WS
    Wen Shi

    Tsinghua University, China

    1 publications · 49 citations

    1

    h-index

  2. FF
    Fernando Ferreira

    Universidade Federal do Rio de Janeiro, Brazil

    1 publications · 21 citations

    1

    h-index

  3. VK
    Vanessa Kitzie

    University of South Carolina, United States

    1 publications · 23 citations

    1

    h-index

  4. EM
    Ehsan Mohammadi

    University of South Carolina, United States

    1 publications · 23 citations

    1

    h-index

  5. MD
    Manlio De Domenico

    Fondazione Bruno Kessler, Italy

    1 publications · 490 citations

    1

    h-index

1–5 of 18

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 490 citations

    1

    h-index

  2. Communication Studies

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Advances in Climate Change Research

    1 publications · 49 citations

    1

    h-index

  5. MIS Quarterly

    1 publications · 14 citations

1–5