Research Article
Deep Learning-Based Fake Information Detection and Influence Evaluation
Table 3
The performance comparisons of the proposed method, the EANN method, and the SpotFake method.
| Dataset | Method | Accuracy | Precision | Recall | F1 score |
| Twitter | EANN | 0.623 | 0.547 | 0.747 | 0.631 | SpotFake | 0.627 | 0.550 | 0.767 | 0.641 | Proposed | 0.682 | 0.596 | 0.830 | 0.693 |
| Weibo | EANN | 0.727 | 0.736 | 0.711 | 0.723 | SpotFake | 0.769 | 0.779 | 0.753 | 0.766 | Proposed | 0.812 | 0.833 | 0.781 | 0.806 |
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