Comparative Analysis Of Automatic Labeling With Cohen's Kappa Validation For Cyberbullying On Tiktok Using Pre-Trained Transformers
The rapid growth of TikTok users in Indonesia increases the risk of cyberbullying, making manual content moderation inefficient. This study compares two automatic labeling methods, InSet Lexicon and Zero-Shot Classification, to address the problem of limited labeled data in cyberbullying detection. A total of 5,864 com...