Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/9541
Title: A Survey on Automatic Detection of Hate Speech in Text
Authors: Sérgio Nunes
Fortuna,P
Issue Date: 2018
Abstract: 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.
URI: http://repositorio.inesctec.pt/handle/123456789/9541
http://dx.doi.org/10.1145/3232676
metadata.dc.type: Publication
article
Appears in Collections:CSIG - Articles in International Journals

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