AntiSemRO: Studying the Romanian expression of Antisemitism
Abstract: With far-right ideology rising in popularity, online environment embodies hateful attitudes. The Covid-19 pandemic and the violent wars in Ukraine and Palestine contributed to a growth in antisemitic discourse. This study introduces an annotated dataset for the study of antisemitic hate speech in Romanian along with several baseline models using classical machine learning models and transformer models for the classification of antisemitic discourse in the online medium.
Paper Type: Short
Research Area: Computational Social Science and Cultural Analytics
Research Area Keywords: hate speech detection, language/cultural bias analysis, sociolinguistics, NLP tools for social analysis
Contribution Types: Model analysis & interpretability, Data resources
Languages Studied: Romanian
Submission Number: 5831
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