GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media (2020.acl-main)
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| Challenge: | Existing methods to detect fake news on social media are based on textual features and advanced linguistic features. |
| Approach: | They propose a neural network-based model to detect fake news on social media . they use a short-text tweet and a sequence of retweets without text comments to predict whether the source tweet is fake or not. |
| Outcome: | The proposed model outperforms state-of-the-art methods by 16% on real tweet datasets and produces reasonable explanations. |
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