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ResearchFormerly WizWand

Bot Detection on Cresci Standard 2015 (test)

97.2Accuracy / F1 ScoreDataset-Level*
77.75282.80187.8592.899Nov 11, 2025
Updated 7mo ago

Evaluation results

MethodLinks
Dataset-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.1197.2
Text-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.1196.9
Shortcut_trBackbone Model=BotRGCN, Feature Category=Topics2025.1196.8
Text-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.1196.5
Model-Level*Backbone Model=BotRGCN, Feature Category=Emotions2025.1195.9
Dataset-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.1195.8
Shortcut_trBackbone Model=BotRGCN, Feature Category=Emotions2025.1194.1
Text-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.1193.5
Dataset-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.1192.9
Model-Level*Backbone Model=BotRGCN, Feature Category=Sentiments2025.1192.9
Model-Level*Backbone Model=BotRGCN, Feature Category=Values2025.1190.5
Shortcut_trBackbone Model=BotRGCN, Feature Category=Values2025.1190.4
Model-Level*Backbone Model=BotRGCN, Feature Category=Topics2025.1190.3
Dataset-Level*Backbone Model=BotRGCN, Feature Category=Values2025.1189.1
Text-Level*Backbone Model=BotRGCN, Feature Category=Values2025.1188.1
AMR+CIGABackbone Model=BotRGCN, Feature Category=Emotions2025.1187
Shortcut_trBackbone Model=BotRGCN, Feature Category=Sentiments2025.1186.9
AMR+CIGABackbone Model=BotRGCN, Feature Category=Topics2025.1185
AMR+CIGABackbone Model=BotRGCN, Feature Category=Sentiments2025.1183.8
AMR+CIGABackbone Model=BotRGCN, Feature Category=Values2025.1178.5