Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing | |
Qiang Liu![]() ![]() ![]() | |
发表期刊 | IEEE Transactions on Knowledge and Data Engineering (TKDE)
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2024 | |
页码 | 1-13 |
文章类型 | 期刊论文(录用) |
摘要 | 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. |
URL | 查看原文 |
七大方向——子方向分类 | 机器学习 |
国重实验室规划方向分类 | 智能计算与学习 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57487 |
专题 | 模式识别实验室 |
通讯作者 | Shu Wu |
作者单位 | 中国科学院自动化研究所 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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