Research Article
An End-to-End Rumor Detection Model Based on Feature Aggregation
Table 6
Performance of feature aggregation model (R: rumor; N: nonrumor).
| Method | Label | Accuracy | Precision | Recall | |
| GRU-2 | R | 0.910 | 0.876 | 0.956 | 0.914 | N | 0.952 | 0.864 | 0.906 |
| CallAtRumors | R | — | 0.871 | 0.863 | 0.867 | N | — | — | — |
| CAMI | R | 0.933 | 0.921 | 0.945 | 0.933 | N | 0.945 | 0.921 | 0.932 |
| CNN-Text/CNN-Top | R | 0.944 | 0.935 | 0.958 | 0.946 | N | 0.955 | 0.930 | 0.942 |
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