Bot Detection on Twibot-20 Standard (test)
70.4Accuracy / F1 ScoreModel-Level*
Evaluation Results
| Method | Links | |
|---|---|---|
| Model-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.11 | 70.4 | |
| Model-Level*Backbone Model=BotRGCN, Feature Category=Values2025.11 | 66.6 | |
| Model-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.11 | 65.3 | |
| Model-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.11 | 63.3 | |
| Dataset-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.11 | 59.4 | |
| Text-Level*Backbone Model=BotRGCN, Feature Category=Values2025.11 | 59.4 | |
| Text-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.11 | 58.8 | |
| Dataset-Level*Backbone Model=BotRGCN, Feature Category=Values2025.11 | 58.2 | |
| Text-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.11 | 57.3 | |
| Shortcut_trBackbone Model=BotRGCN, Feature Category=Values2025.11 | 56.4 | |
| Text-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.11 | 56.2 | |
| Dataset-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.11 | 55.8 | |
| Shortcut_trBackbone Model=BotRGCN, Feature Category=Topics2025.11 | 54.8 | |
| Dataset-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.11 | 54.4 | |
| Shortcut_trBackbone Model=BotRGCN, Feature Category=Emotions2025.11 | 53.9 | |
| AMR+CIGABackbone Model=BotRGCN, Feature Category=Emotions2025.11 | 53.8 | |
| AMR+CIGABackbone Model=BotRGCN, Feature Category=Values2025.11 | 53.6 | |
| AMR+CIGABackbone Model=BotRGCN, Feature Category=Sentiments2025.11 | 53.1 | |
| AMR+CIGABackbone Model=BotRGCN, Feature Category=Topics2025.11 | 53 | |
| Shortcut_trBackbone Model=BotRGCN, Feature Category=Sentiments2025.11 | 52.2 |