RAVE: Retrieval and Scoring Aware Verifiable Claim Detection

Yufeng Li, Arkaitz Zubiaga

ICASSP. 2026.

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 show that RAVE achieves competitive results on CT22-test and PoliClaim-test.

@inproceedings{li2026rave,
  title={RAVE: Retrieval and Scoring Aware Verifiable Claim Detection},
  author={Li, Yufeng and Zubiaga, Arkaitz},
  booktitle={ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={19002--19006},
  year={2026},
  organization={IEEE}
}