Research Article
Research on Fake News Detection Based on Diffusion Growth Rate
Table 1
Prediction performance comparison.
| Datasets | Methods | Accuracy | True | Fake | Precision | Recall | -score | Precision | Recall | -score |
| Twitter | DTC | 0.731 | 0.724 | 0.757 | 0.740 | 0.739 | 0.704 | 0.721 | SVM-TK | 0.808 | 0.735 | 0.902 | 0.834 | 0.721 | 0.652 | 0.772 | RvNN | 0.827 | 0.847 | 0.833 | 0.840 | 0.904 | 0.820 | 0.812 | Delta-G | 0.855 | 0.855 | 0.883 | 0.869 | 0.854 | 0.820 | 0.837 | Delta-G-GAT | 0.864 | 0.857 | 0.908 | 0.878 | 0.872 | 0.820 | 0.845 | Weibo | DTC | 0.831 | 0.847 | 0.815 | 0.831 | 0.815 | 0.847 | 0.830 | SVM-TK | 0.857 | 0.839 | 0.885 | 0.861 | 0.878 | 0.830 | 0.857 | RvNN | 0.873 | 0.816 | 0.964 | 0.884 | 0.956 | 0.782 | 0.861 | Delta-G | 0.896 | 0.846 | 0.968 | 0.913 | 0.953 | 0.858 | 0.903 | Delta-G-GAT | 0.908 | 0.871 | 0.958 | 0.913 | 0.953 | 0.858 | 0.903 |
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