Entity-Aware Dual Co-Attention Network for Fake News Detection

Sin-Han Yang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
2/7/2023
cs.CL

No official code found. Best implementation: SinHanYang/Dual-CAN (10 stars, last commit 2023-06-11).

Abstract

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.

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SinHanYang/Dual-CANCommunity100%

Entity-Aware Dual Co-Attention Network for Fake News Detection, EACL 2023 Findings

102PythonJun 23, 20223 years ago

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Cite this paper

@article{yang2023entityaware,
  title  = {Entity-Aware Dual Co-Attention Network for Fake News Detection},
  author = {Sin-Han Yang and Chung-Chi Chen and Hen-Hsen Huang and Hsin-Hsi Chen},
  year   = {2023},
  eprint = {2302.03475},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.03475v1}
}

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