Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement

arXiv:2404.11036v1 Announce Type: cross
Abstract: Content moderation faces a challenging task as social media's ability to spread hate speech contrasts with its role in promoting global connectivity. With rapidly evolving slang and hate speech, the adaptability of conventional deep learning to the fluid landscape of online dialogue remains limited. In response, causality inspired disentanglement has shown promise by segregating platform specific peculiarities from universal hate indicators. However, its dependency on available ground truth target labels for discerning these nuances faces …

abstract adaptability arxiv causal connectivity content moderation cs.cl cs.lg deep learning detection dialogue global hate speech hate speech detection landscape media moderation platform role slang social social media speech type