A Survey on Automatic Detection of Hate Speech in Text

• Tipo: Artigo em Revista Científica Internacional
• Data: 2018

Autores

Paulo Fortuna (Autor) Outra; Sérgio Nunes (Autor) FEUP

Revista

Título: ACM Computing Surveys

Vol. 51 Nº 4

Páginas: 85:1-85:30

ISSN: 0360-0300

Editora: ACM

Indexação

ISI Web of Knowledge - 130 Citações

ISI Web of Science

Scopus - 256 Citações

Outras Informações

ID Authenticus: P-00P-M24

DOI: 10.1145/3232676

Abstract (EN): 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. © 2018 ACM.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 30