RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

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 RA VE (Retrieval and Scoring A ware V erifiable 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 RA VE consistently outperforms text-only and retrieval-based baselines in both accuracy and F1.