Social media platforms serve as spaces for both open expression and the spread of harmful narratives, often targeting marginalized communities. In the context of Hindi, automated detection of homophobic and transphobic comments at span level is still not studied widely. This work introduces a span-annotated dataset...
Tanay Singh, Prasanna Kumar Kumaresan, Saranya Rajiakodi et al.· Social Network Analysis and...· 0 citations
The Cross-Cultural Misogynistic Meme Detection Grand Challenge, CC-MMD 2026, addresses the problem of identifying misogynistic content in multimodal memes across culturally diverse annotation perspectives. Existing misogyny detection benchmarks have advanced multimodal content moderation, but most assume a single groun...
Rahul Ponnusamy, Bhuvaneswari Sivagnanam, Anshid K. A. Kizhakkeparambil et al.· Proceedings of the 28th Inte...· 5 citations
Online gender-based hate speech affects women, men, and LGBTQIA+ communities and is difficult to moderate in low-resource Tamil because social media content often contains transliteration, code-mixing, dialectal variation, sarcasm, and culturally specific abusive expressions. This paper presents IRAIVI (Intelligent Res...
