Research Article
Multimodal Fake News Detection Incorporating External Knowledge and User Interaction Feature
| Model | Accuracy | F1-score | Precision | Recall |
| (a) Experimental results on Twitter 15 | DTC | 0.495 | 0.495 | 0.496 | 0.481 | SVM-TS | 0.520 | 0.519 | 0.520 | 0.519 | mGRU | 0.555 | 0.510 | 0.515 | 0.515 | CSI | 0.699 | 0.717 | 0.699 | 0.687 | dEFEND | 0.738 | 0.654 | 0.658 | 0.661 | Rumor2vec | 0.791 | 0.782 | 0.780 | 0.785 | GAN | 0.856 | 0.868 | 0.847 | 0.853 | GCAN | 0.877 | 0.825 | 0.826 | 0.830 | A-KWGCN | 0.905 | 0.891 | 0.895 | 0.888 |
| (b) Experimental results on Twitter 16 | DTC | 0.561 | 0.562 | 0.575 | 0.537 | SVM-TS | 0.693 | 0.692 | 0.693 | 0.691 | mGRU | 0.661 | 0.556 | 0.560 | 0.562 | CSI | 0.661 | 0.630 | 0.632 | 0.631 | dEFEND | 0.702 | 0.631 | 0.637 | 0.638 | Rumor2vec | 0.848 | 0.840 | 0.827 | 0.836 | GAN | 0.854 | 0.870 | 0.861 | 0.847 | GCAN | 0.908 | 0.759 | 0.759 | 0.763 | A-KWGCN | 0.930 | 0.879 | 0.882 | 0.879 |
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