Hate Speech Annotation

Hate Speech Annotation is a scholarly method within computational linguistics and natural language processing that involves systematically labeling textual data with markers indicating the presence, type, and severity of hate speech for the purpose of training, evaluating, or analyzing detection models.

597

Publications

39.8K

Citations

1.6K

Authors

556

Institutions

Publications per year

2017–2026

572

Authors

1.6K

  1. BR
    Bharathi Raja Chakravarthi

    Ollscoil na Gaillimhe – University of Galway, Ireland

    18 publications · 743 citations

    15

    h-index

  2. MZ
    Marcos Zampieri

    University of Wolverhampton, United Kingdom

    13 publications · 840 citations

    12

    h-index

  3. VP
    Viviana Patti

    University of Turin, Italy

    12 publications · 1.4K citations

    12

    h-index

  4. TM
    Thomas Mandl

    University of Hildesheim, Germany

    10 publications · 882 citations

    10

    h-index

  5. VB
    Valerio Basile

    University of Turin, Italy

    10 publications · 1.2K citations

    10

    h-index

1–5 of 1.6K

Venues

  1. arXiv (Cornell University)

    Repository · 71 publications · 2.5K citations

    31

    h-index

  2. 14

    h-index

  3. Expert Systems with Applications

    13 publications · 685 citations

    13

    h-index

  4. Information Processing & Management

    13 publications · 830 citations

    13

    h-index

  5. Social Network Analysis and Mining

    9 publications · 285 citations

    9

    h-index

1–5