Profile-based Bot Detection

Profile-Based Bot Detection is a bot detection method that identifies automated social media accounts by analyzing static profile attributes, such as username, bio, registration date, and profile image, to distinguish bots from human users based on deviations from typical human account characteristics.

38

Publications

1.3K

Citations

112

Authors

48

Institutions

Publications per year

2017–2026

33

Authors

112

  1. KH
    Kadhim Hayawi

    Zayed University, United Arab Emirates

    4 publications · 136 citations

    4

    h-index

  2. EA
    Eiman Alothali

    Zayed University, United Arab Emirates

    3 publications · 53 citations

    3

    h-index

  3. HA
    Hany Alashwal

    United Arab Emirates University, United Arab Emirates

    3 publications · 53 citations

    3

    h-index

  4. ÖU
    Özlem Uzuner

    University at Albany, State University of New York, United States

    2 publications · 113 citations

    2

    h-index

  5. RF
    Reza Farahbakhsh

    Institut Polytechnique de Paris, France

    2 publications · 33 citations

    2

    h-index

1–5 of 112

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 77 citations

    4

    h-index

  2. CLEF (Working Notes)

    2 publications · 66 citations

    2

    h-index

  3. Applied Sciences

    2 publications · 36 citations

    2

    h-index

  4. Social Network Analysis and Mining

    2 publications · 104 citations

    2

    h-index

  5. National Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

1–5