Spambot Detection

Spambot Detection is a computational method within the field of bot detection that specifically identifies automated accounts designed to disseminate unsolicited or malicious content on digital platforms by analyzing behavioral, textual, and network-level patterns distinct from those of legitimate users.

81

Publications

5.9K

Citations

202

Authors

106

Institutions

Publications per year

2017–2026

53

Authors

202

  1. SC
    Stefano Cresci

    Institute of Informatics and Telematics, Italy

    10 publications · 1.2K citations

    10

    h-index

  2. MP
    Marinella Petrocchi

    Institute of Informatics and Telematics, Italy

    8 publications · 1.1K citations

    8

    h-index

  3. MT
    Maurizio Tesconi

    Institute of Informatics and Telematics, Italy

    7 publications · 1.1K citations

    7

    h-index

  4. AS
    Angelo Spognardi

    Sapienza University of Rome, Italy

    7 publications · 1K citations

    7

    h-index

  5. RD
    Roberto Di Pietro

    Roma Tre University, Italy

    4 publications · 945 citations

    4

    h-index

1–5 of 202

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 366 citations

    7

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Dependable and Secure Computing

    TDSC · 2 publications · 800 citations

    2

    h-index

  4. 1

    h-index

  5. Applied Sciences

    1 publications · 33 citations

    1

    h-index

1–5