期刊
ACM COMPUTING SURVEYS
卷 51, 期 4, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3232676
关键词
Hate speech; literature review; text mining; opinion mining; natural language processing
资金
- FourEyes, a research line within project TEC4Growth-Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact - North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement [NORTE-01-0145-FEDER-000020]
- European Regional Development Fund (ERDF)
The scientific study of hate speech, from a computer science point of view, is recent. This survey organizes and describes the current state of the field, providing a structured overview of previous approaches, including core algorithms, methods, and main features used. This work also discusses the complexity of the concept of hate speech, defined in many platforms and contexts, and provides a unifying definition. This area has an unquestionable potential for societal impact, particularly in online communities and digital media platforms. The development and systematization of shared resources, such as guidelines, annotated datasets in multiple languages, and algorithms, is a crucial step in advancing the automatic detection of hate speech.
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