SAFE-MR: Evidence Sufficiency Learning for Selective Multimodal Rumor Detection

Paper recorded by Signals 4 on 2026-10-05 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.CL · 自然语言处理 · first seen 2026-10-06

Abstract

Multimodal rumor detectors increasingly rely on retrieved evidence, yet relevant evidence is not necessarily sufficient for verification. Missing provenance, duplicated reports, and unresolved contradictions can produce confident predictions without adequate support. We introduce SAFE-MR, a framework that separates claim veracity from evidence sufficiency. The method decomposes image-text posts in

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