Tag
This paper introduces a Gated Cross Attention (GCA) framework that leverages LLM-generated explanations as stable background knowledge to detect fake news that has been rewritten under different emotional framings while preserving the underlying factual claims, showing improvements on PolitiFact, GossipCop, and LUN datasets.