Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging

ArXi:2512.14700v2 Announce Type: replace-cross Online harassment is a widespread social and public health concern, yet most computational approaches for detecting and addressing harassment focus on publicly visible social media content rather than private messaging environments. Private conversations present unique challenges because harmful interactions often unfold through context-dependent, multi-turn exchanges, while victims may lack timely during moments of harassment.