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

• URL: http://arxiv.org/abs/2302.03475v1
• Date: Tue, 7 Feb 2023 14:00:40 GMT
• Title: Entity-Aware Dual Co-Attention Network for Fake News Detection
• Authors: Sin-Han Yang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
• Abstract summary: 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.
• Score: 44.73136493909754
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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