English

Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness

Computation and Language 2021-02-16 v2

Abstract

The massive amount of misinformation spreading on the Internet on a daily basis has enormous negative impacts on societies. Therefore, we need automated systems helping fact-checkers in the combat against misinformation. In this paper, we propose a model prioritizing the claims based on their check-worthiness. We use BERT model with additional features including domain-specific controversial topics, word embeddings, and others. In our experiments, we show that our proposed model outperforms all state-of-the-art models in both test collections of CLEF Check That! Lab in 2018 and 2019. We also conduct a qualitative analysis to shed light-detecting check-worthy claims. We suggest requesting rationales behind judgments are needed to understand subjective nature of the task and problematic labels.

Keywords

Cite

@article{arxiv.2004.08166,
  title  = {Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness},
  author = {Yavuz Selim Kartal and Busra Guvenen and Mucahid Kutlu},
  journal= {arXiv preprint arXiv:2004.08166},
  year   = {2021}
}