RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

Yufeng Li; Arkaitz Zubiaga

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arXiv · 2509.15793

RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

Yufeng Li·Arkaitz Zubiaga

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Abstract

The rapid spread of misinformation on social media underscores the need for scalable fact-checking tools. A key step is claim detection, which identifies statements that can be objectively verified. Prior approaches often rely on linguistic cues or claim check-worthiness, but these struggle with vague political discourse and diverse formats such as tweets. We present RAVE (Retrieval and Scoring Aware Verifiable Claim Detection), a framework that combines evidence retrieval with structured signals of relevance and source credibility. Experiments on CT22-test and PoliClaim-test show that RAVE consistently outperforms text-only and retrieval-based baselines in both accuracy and F1.

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Yufeng Li, Arkaitz Zubiaga. 2025-09-19. RAVE: Retrieval and Scoring Aware Verifiable Claim Detection. https://arxiv.org/abs/2509.15793

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