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Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu; Junfei Wu; Shu Wu; Liang Wang
Source PublicationIEEE Transactions on Knowledge and Data Engineering (TKDE)
2024
Pages1-13
Subtype期刊论文(录用)
Abstract

Evidence-aware fake news detection aims to conduct reasoning between news and evidence, which is retrieved based on news content, to find uniformity or inconsistency. However, we find evidence-aware detection models suffer from biases, i.e., spurious correlations between news/evidence contents and true/fake news labels, and are hard to be generalized to Out-Of-Distribution (OOD) situations. To deal with this, we propose a novel Dual Adversarial Learning (DAL) approach. We incorporate news-aspect and evidence-aspect debiasing discriminators, whose targets are both true/fake news labels, in DAL. Then, DAL reversely optimizes news-aspect and evidence-aspect debiasing discriminators to mitigate the impact of news and evidence content biases. At the same time, DAL also optimizes the main fake news predictor, so that the news-evidence interaction module can be learned. This process allows us to teach evidence-aware fake news detection models to better conduct news-evidence reasoning, and minimize the impact of content biases. To be noted, our proposed DAL approach is a plug-and-play module that works well with existing backbones. We conduct comprehensive experiments under two OOD settings, and plug DAL in four evidence-aware fake news detection backbones. Results demonstrate that, DAL significantly and stably outperforms the original backbones and some competitive debiasing methods.

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Sub direction classification机器学习
planning direction of the national heavy laboratory智能计算与学习
Paper associated data
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57487
Collection模式识别实验室
Corresponding AuthorShu Wu
Affiliation中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qiang Liu,Junfei Wu,Shu Wu,et al. Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE),2024:1-13.
APA Qiang Liu,Junfei Wu,Shu Wu,&Liang Wang.(2024).Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing.IEEE Transactions on Knowledge and Data Engineering (TKDE),1-13.
MLA Qiang Liu,et al."Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing".IEEE Transactions on Knowledge and Data Engineering (TKDE) (2024):1-13.
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