Hostility Detection Dataset in Hindi

Abstract

In this paper, we present a novel hostility detection dataset in Hindi language. We collect and manually annotate ~8200 online posts. The annotated dataset covers four hostility dimensions: fake news, hate speech, offensive, and defamation posts, along with a non-hostile label. The hostile posts are also considered for multi-label tags due to a significant overlap among the hostile classes. We release this dataset as part of the CONSTRAINT-2021 shared task on hostile post detection.

References in corpus (2)

• Automated Hate Speech Detection and the Problem of Offensive Language
• BanFakeNews: A Dataset for Detecting Fake News in Bangla

Cited by in corpus (5)

• Hostility Detection and Covid-19 Fake News Detection in Social Media
• Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media
• IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
• Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts
• Detecting Hostile Posts using Relational Graph Convolutional Network