Table 3.
COVID-19 fake tweets detection papers summary
| S. no. | Year | Author and Paper | Model | Accuracy | F1-score |
|---|---|---|---|---|---|
| 1 | 2020 | Gautam et al. [31] | XLNet + LDA | 93.90 | 94.00 |
| 2 | 2021 | Shushkevich and Cardiff [32] | Ensemble model | 93.90 | 94.00 |
| 3 | 2020 | Glazkova et al. [33] | CT-BERT+ hard voting | 98.50 | 98.69 |
| 4 | 2021 | Paka et al. [34] | BERTa + BiLSTM | 95.40 | 95.30 |
| 5 | 2021 | Li et al. [35] | BiLSTM | 89.00 | 88.00 |
| 6 | 2017 | Singhania et al. [36] | 3HAN + features | 96.30 | 96.77 |
| 7 | 2021 | Ahmed et al. [37] | LSVM + TF-IDF | 92.15 | 92.08 |