Hostility Detection Dataset in Hindi

2020/11/06 by Mohit Bhardwaj, Bhardwaj, Mohit, Md Shad Akhtar +7 · 7 citations
Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #Spam and Phishing Detection

paper · pdf · doi:10.48550/arxiv.2011.03588

openalex publication_date 2020/11/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Automated Hate Speech Detection and the Problem of Offensive Language

Cited by

• Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages
• From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations
• HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation
• Detecting Hostile Posts using Relational Graph Convolutional Network
• Web(er) of Hate: A Survey on How Hate Speech Is Typed
• Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts
• Explainable AI: XAI-Guided Context-Aware Data Augmentation

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