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When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
April 18, 2026 ยท Grace Period ยท ๐ ACL 2026 Main Conference
Authors
Chaewan Chun, Delvin Ce Zhang, Dongwon Lee
arXiv ID
2604.16767
Category
cs.CL: Computation & Language
Cross-listed
cs.CY
Citations
0
Venue
ACL 2026 Main Conference
Abstract
Audio platforms have evolved beyond entertainment. They have become central to public discourse, from podcasts and radio to WhatsApp voice notes and live streams. With millions of shows and hundreds of millions of listeners, audio platforms are now a major channel for misinformation. Yet existing fact-checking pipelines are mostly designed for written claims, overlooking the unique properties of spoken media. We argue that audio misinformation is not merely textual content with transcripts: it is structurally different because it is both spoken - carrying persuasive force through prosody, pacing, and emotion - and conversational - unfolding across turns, speakers, and episodes. These dual properties introduce verification difficulties that traditional methods rarely face. This position paper synthesizes evidence across modalities and platforms, examines datasets and methods, and highlights why existing pipelines fail on audio. We argue that advancing fact-checking requires rethinking verification pipelines around the spoken and conversational realities of audio.
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