Evidence-aware Fake News Detection with Graph Neural Networks

@article{Xu2022EvidenceawareFN,
  title={Evidence-aware Fake News Detection with Graph Neural Networks},
  author={Weizhi Xu and Jun Wu and Qiang Liu and Shu Wu and Liang Wang},
  journal={Proceedings of the ACM Web Conference 2022},
  year={2022}
}
The prevalence and perniciousness of fake news has been a critical issue on the Internet, which stimulates the development of automatic fake news detection in turn. In this paper, we focus on the evidence-based fake news detection, where several evidences are utilized to probe the veracity of news (i.e., a claim). Most previous methods first employ sequential models to embed the semantic information and then capture the claim-evidence interaction based on different attention mechanisms. Despite… 
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