Harassment Detection

Harassment Detection is a computational method designed to identify and classify instances of online harassment by analyzing textual or behavioral patterns within digital communications.

471

Publications

26.6K

Citations

1.4K

Authors

516

Institutions

Publications per year

2017–2026

369

Authors

1.4K

  1. GS
    Gianluca Stringhini

    University College London, United Kingdom

    14 publications · 1.6K citations

    13

    h-index

  2. JB
    Jeremy Blackburn

    University College London, United Kingdom

    12 publications · 1.4K citations

    11

    h-index

  3. NK
    Nicolas Kourtellis

    Telefonica Research and Development, Spain

    12 publications · 1.4K citations

    11

    h-index

  4. AV
    Athena Vakali

    Aristotle University of Thessaloniki, Greece

    11 publications · 1.4K citations

    10

    h-index

  5. DC
    Despoina Chatzakou

    Aristotle University of Thessaloniki, Greece

    11 publications · 1.4K citations

    10

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 26 publications · 968 citations

    18

    h-index

  2. 8

    h-index

  3. IEEE Access

    9 publications · 940 citations

    8

    h-index

  4. Procedia Computer Science

    8 publications · 616 citations

    8

    h-index

  5. Social Network Analysis and Mining

    7 publications · 254 citations

    7

    h-index

1–5