AI RESEARCH
Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection
arXiv CS.CL
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ArXi:2605.12156v1 Announce Type: new Automatic misinformation detection performs well when deception is visible in what an article explicitly states. However, some misinformation articles remain locally coherent and only become misleading once compared with contemporaneous reports that supply background facts the article omits. We study this omission-relevant setting and observe that current omission-aware approaches typically either attach retrieved context as auxiliary evidence or infer a categorical omission signal, leaving the specific missing fact implicit.