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Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
Feb. 23, 2024, 5:44 a.m. | Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen
cs.LG updates on arXiv.org arxiv.org
Abstract: We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions. In contrast to traditional comment-only methods, our approach to labelling a comment as hate speech involves a holistic analysis of text and images grounded in the discussion context. This is done by leveraging graph transformers to capture the contextual relationships in the discussion surrounding a comment and grounding the interwoven fusion layers that combine …
abstract arxiv contrast cs.cl cs.lg cs.mm cs.si discussions graph hate speech images labelling media modal multi-modal networks novel reddit social social media social networks speech text transformer transformers type
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