Assessing the Impact of Contextual Information in Hate Speech Detection

Assessing the Impact of Contextual Information in Hate Speech Detection

Social networks and other digital media deal with huge amounts of user-generated contents where hate speech has become a problematic more and more relevant. A great effort has been made to develop automatic tools for its analysis and moderation, at least in its most threatening forms, such as in vio...

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Bibliographic Details
Main Authors: Juan Manuel Perez, Franco M. Luque, Demian Zayat, Martin Kondratzky, Agustin Moro, Pablo Santiago Serrati, Joaquin Zajac, Paula Miguel, Natalia Debandi, Agustin Gravano, Viviana Cotik
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
NLP
text classification
hate speech detection
contextual information
Spanish corpus
COVID-19 hate speech
Online Access:https://ieeexplore.ieee.org/document/10076443/

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