Author:
Poletto Fabio,Basile Valerio,Sanguinetti Manuela,Bosco Cristina,Patti Viviana
Abstract
AbstractHate Speech in social media is a complex phenomenon, whose detection has recently gained significant traction in the Natural Language Processing community, as attested by several recent review works. Annotated corpora and benchmarks are key resources, considering the vast number of supervised approaches that have been proposed. Lexica play an important role as well for the development of hate speech detection systems. In this review, we systematically analyze the resources made available by the community at large, including their development methodology, topical focus, language coverage, and other factors. The results of our analysis highlight a heterogeneous, growing landscape, marked by several issues and venues for improvement.
Funder
Fondazione Giovanni Goria
Università degli Studi di Torino
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics
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