School of Information

The paper will investigate the complexities involved in moderating casteist content on major social media platforms. Focusing on the challenges of categorizing hate speech targeting India's marginalized caste-oppressed minorities, the research aims to delve into the mechanisms utilized by platforms for content moderation. It will critically analyze existing categorization systems, exploring the efficacy and limitations in identifying and addressing casteist comments. This research draws on document analysis and comparative policy review methods to assess how platforms categorize and respond to caste-based hate speech. Moreover, it will highlight the implications of inadequate categorization on content visibility and community impact.