| YouTube | Reddit | Twitter | Wikipedia |
---|
F1xgboost_all | 0.911 | 0.776 | 0.980 | 0.861 |
F1xgboost_BERT | 0.907 | 0.778 | 0.975 | 0.846 |
F1 in original papera | 0.960 [5] | 0.749 [73] | 0.900 [16] | – |
ROC-AUCxgboost_all | 0.968 | 0.967 | 0.994 | 0.993 |
ROC-AUCxgboost_BERT | 0.964 | 0.967 | 0.991 | 0.991 |
ROC-AUC in original papera | – | 0.957 [73] | – | 0.972 [7] |
- We also present the results from previous research—when not reported, the cell contains (−). To facilitate reading, our results are given in italic. The results between the XGBoost (All vs BERT) in Wikipedia and Twitter platforms are significantly different with p < 0.01 (McNemar’s test). Note that the results from previous studies are not directly comparable with the current study findings
- aBrackets refer to sources