A study of Hate Speech in Social Media during the COVID-19 outbreak

COTIK, VIVIANA ÉRICA; DEBANDI, NATALIA; LUQUE, FRANCO; MIGUEL, PAULA; MORO, AGUSTÍN; PÉREZ, JUAN MANUEL; SERRATI, PABLO SANTIAGO; ZAJAC, JOAQUÍN; ZAYAT, DEMIAN

Seattle (virtual)

Simposio; CL 2020 Workshop on Natural Language Processing for COVID-19; 2020

ACL

In this short article, we present work in progress on the study of hate speech in Spanish tweets related to newspaper articles about the COVID-19 pandemic. We cover two main aspects: The construction of a new corpus annotated for hate speech in Spanish tweets, and the analysis of the collected data in order to answer questions from the social field, aided by modern computational tools.Definitions and progress are presented in both aspects. For the corpus, we introduce the data collection process, the annotation schema and criteria, and the data statement. For the analysis, we present our goals and its associated questions. We also describe the definition and training of a hate speech classifier, and present preliminary results using it.