3 papers
cs.CV2026
What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews
Fanxiao Li, Jiaying Wu, Tingchao Fu +4
Even when factually correct, social-media news previews (image-headline pairs) can induce interpretation drift: by selectively omitting crucial context, they lead readers to form j…
cs.CV2025
Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection
Fanxiao Li, Jiaying Wu, Tingchao Fu +3
The proliferation of multimodal misinformation poses growing threats to public discourse and societal trust. While Large Vision-Language Models (LVLMs) have enabled recent progress…
cs.MM2025
CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection
Fanxiao Li, Jiaying Wu, Canyuan He +1
Multimodal large language models (MLLMs) have demonstrated impressive capabilities in visual reasoning and text generation. While previous studies have explored the application of…