Bot Classification

Bot Classification is a methodological framework within computational social science that distinguishes automated agent behaviors from human-generated activities in digital environments by systematically analyzing patterns of interaction, temporal regularities, and content features specific to non-human actors.

114

Publications

7.5K

Citations

332

Authors

151

Institutions

Publications per year

2017–2026

92

Authors

332

  1. HW
    Haining Wang

    William & Mary, United States

    4 publications · 1.3K citations

    4

    h-index

  2. SG
    Steven Gianvecchio

    William & Mary, United States

    4 publications · 1.3K citations

    4

    h-index

  3. KM
    Kathleen M. Carley

    Carnegie Mellon University, United States

    3 publications · 142 citations

    3

    h-index

  4. FM
    Francesco Masulli

    University of Genoa, Italy

    3 publications · 98 citations

    3

    h-index

  5. EF
    Emilio Ferrara

    University of Southern California, United States

    3 publications · 1.2K citations

    3

    h-index

1–5 of 332

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 417 citations

    6

    h-index

  2. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 4 publications · 316 citations

    4

    h-index

  3. CLEF (Working Notes)

    3 publications · 87 citations

    3

    h-index

  4. 2

    h-index

  5. Social Network Analysis and Mining

    2 publications · 187 citations

    2

    h-index

1–5