A Survey on Automatic Detection of Hate Speech in Text

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Paulo Fortuna (Author) Other; Sérgio Nunes (Author) FEUP

Journal

Title: ACM Computing Surveys

Vol. 51 No. 4

Pages: 85:1-85:30

ISSN: 0360-0300

Publisher: ACM

Indexing

ISI Web of Knowledge - 130 Citations

ISI Web of Science

Scopus - 256 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 30