3 papers
cs.CL2026
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
Bo Wang, Jing Ma, Hongzhan Lin +4
Explainable fake news detection aims to assess the veracity of news claims while providing human-friendly explanations. Existing methods incorporating investigative journalism are…
cs.CL2025
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Hongzhan Lin, Ziyang Luo, Bo Wang +2
The exponential growth of social media has profoundly transformed how information is created, disseminated, and absorbed, exceeding any precedent in the digital age. Regrettably, t…
cs.CL2025
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
Bo Wang, Jing Ma, Hongzhan Lin +4
Most fake news detection methods learn latent feature representations based on neural networks, which makes them black boxes to classify a piece of news without giving any justific…