/Hostility-Detection

Fake news on Low Resource Languages

Primary LanguageJupyter NotebookMIT LicenseMIT

Hostility Detection

In this work, 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 multilabel 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.