arXiv cs.CV
· Papers
Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
arXiv:2509.25991v3 Announce Type: replace-cross Abstract: Detecting deceptive multimodal content on social media has become an increasingly important problem. Two major types of deception dominate: human-crafted misinformation (e.g., rumors and misleading posts) and AI-generated content produced by image synthesis mode