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
Parents
597
Abusive Language Detection in Online User Content
Chikashi Nobata, Joel Tetreault, Achint Thomas et al. · 2016 · 1.1K citations
Deep Learning for Hate Speech Detection in Tweets
2017 · 817 citations · Full text
1–5 of 597
1.6K
Ollscoil na Gaillimhe – University of Galway, Ireland
18 publications · 743 citations
15
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12
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12
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10
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10
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1–5 of 1.6K
556

University of Wolverhampton
Wolverhampton, United Kingdom
10 h-index
12 publications
816 citations

Indraprastha Institute of Information Technology Delhi
Delhi, India
10 h-index
24 publications
839 citations

University of Turin
Turin, Italy
10 h-index
31 publications
5.5K citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
10 h-index
18 publications
495 citations
University of Southern California
Los Angeles, United States
9 h-index
68 publications
2.7K citations
University of Hildesheim
Hildesheim, Germany
9 h-index
9 publications
983 citations
University of California, Santa Barbara
Santa Barbara, United States
9 h-index
35 publications
3.6K citations

Delhi Technological University
New Delhi, India
9 h-index
24 publications
892 citations
1–8 of 556
Repository · 71 publications · 2.5K citations
31
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16 publications · 2K citations
14
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13 publications · 685 citations
13
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13 publications · 830 citations
13
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9 publications · 285 citations
9
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