RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

Yufeng Li, Arkaitz Zubiaga
9/19/2025
cs.CL

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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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Cite this paper

@article{li2025rave,
  title  = {RAVE: Retrieval and Scoring Aware Verifiable Claim Detection},
  author = {Yufeng Li and Arkaitz Zubiaga},
  year   = {2025},
  eprint = {2509.15793},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2509.15793v1}
}

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