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. 2020 Oct 20;3(2):445–468. doi: 10.1007/s42001-020-00087-4

Table 2.

Summary of datasets with BotHunter, hate speech, and offensive speech scores

Dataset Bot predictions Hate scores Offensive scores
Tweets Users Tweets Users Tweets Users
US

3.026 M

(26.31%)

237 K (14.91%) 0.1023 (0.0769) 0.1073 (0.0656)

0.2773

(0.1519)

0.2914 (0.1418)
PH 3.436 M (21.73%) 150 K (15.70%) 0.0896 (0.0717) 0.0924 (0.0600)

0.2672

(0.1375)

0.2836 (0.1180)

For this table, an 80% probability threshold was used to classify a user as a bot. Bot tweets refer to tweets produced by bots predicted by the same threshold. Parentheses provide dataset proportions for BotHunter predictions and standard deviations for hate speech and offensive speech scores