| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Weibo 17 | MaLSF | Accuracy93.5 | 8 | 2mo ago | |
| Fakeddit | MAGIC | Accuracy98.72 | 7 | 9d ago | |
| Weibo 21 | MaLSF | Accuracy95.5 | 7 | 2mo ago | |
| AMG (test) | ExDR | Accuracy86.1 | 6 | 3mo ago | |
| DGM4 Avg. | Ours | Macro F1 (multimodal)79.38 | 5 | 1mo ago | |
| DGM4 5% budget | Ours | Macro F1 (Multi)79.34 | 5 | 1mo ago | |
| DGM4 1% budget | Qwen + SFT | Macro F1 (Multi)79.47 | 5 | 1mo ago | |
| DGM4 0.25% budget | Ours | Macro F1 (multi)79.66 | 5 | 1mo ago | |
| Weibo 100 samples supervision budget | Qwen + SFT | Macro F1 (Multimodal)94.29 | 5 | 1mo ago | |
Accuracy94 | 4 | 15d ago | |||
| Politifact | CLIP-based | Accuracy (%)94.2 | 2 | 15d ago | |
| Risdal | ETMA | Accuracy95 | 1 | 15d ago | |
| Jruvika | ETMA | Accuracy97 | 1 | 15d ago | |
| Pontes | ETMA | Accuracy96 | 1 | 15d ago | |
| Pheme | Accuracy87.2 | 1 | 15d ago | ||
| Gossipcop | CLIP-based | Accuracy88 | 1 | 15d ago | |
| IFND Indian | Accuracy74 | 1 | 15d ago | ||
| Chinese MM | MAGIC | Accuracy85.96 | 1 | 15d ago |
