Table 3.
Performance of DL-based models on standard datasets
| Datasets | DL-based models | Accuracy | Year of publication |
|---|---|---|---|
| Twitter 15 | RvNN [64] | 72.3% | 2018 |
| Hybrid GCN [33] | 75.2% | 2019 | |
| Bi-GCN [11] | 88.6% | 2020 | |
| Rumor2vec [90] | 79.6% | 2021 | |
| EB-GCN [97] | 89.2% | 2021 | |
| RDGCN[93] | 85.6% | 2021 | |
| HDGCN [106] | 83.4% | 2022 | |
| GAN [100] | 85.6% | 2022 | |
| Twitter 16 | RvNN[64] | 73.7% | 2018 |
| Hybrid GCN[33] | 77.3% | 2019 | |
| Bi-GCN [11] | 88.0% | 2020 | |
| Rumor2vec [90] | 85.2% | 2021 | |
| EB-GCN [97] | 91.5% | 2021 | |
| RDGCN [93] | 87.8% | 2021 | |
| HDGCN [106] | 86.5% | 2022 | |
| GAN [100] | 85.4% | 2022 | |
| PHEME | RNN [54] | 63.8% | 2019 |
| ERD model [94] | 84% | 2021 | |
| EB-GCN [97] | 69.0% | 2021 | |
| EGCN [9] | 84.1% | 2021 | |
| RNN [61] | 91.0% | 2016 | |
| RNN [57] | 94.8% | 2018 | |
| Bi-GCN [11] | 96% | 2020 | |
| Postcom2vec [105] | 95.41% | 2021 | |
| Rumor2vec [90] | 95.1% | 2021 | |
| GAN [100] | 94.1% | 2022 |