https://scholars.lib.ntu.edu.tw/handle/123456789/632592
標題: | Entity-Aware Dual Co-Attention Network for Fake News Detection | 作者: | Yang, Sin Han Chen, Chung Chi Huang, Hen Hsen HSIN-HSI CHEN |
公開日期: | 1-一月-2023 | 來源出版物: | EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023 | 摘要: | Fake news and misinformation spread rapidly on the Internet. How to identify it and how to interpret the identification results have become important issues. In this paper, we propose a Dual Co-Attention Network (Dual-CAN) for fake news detection, which takes news content, social media replies, and external knowledge into consideration. Our experimental results support that the proposed Dual-CAN outperforms current representative models in two benchmark datasets. We further make in-depth discussions by comparing how models work in both datasets with empirical analysis of attention weights. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/632592 | ISBN: | 9781959429470 |
顯示於: | 資訊工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。