Brute Force Works Best Against Bullying (original) (raw)

This paper investigates the effectiveness of a novel net-patrol crawler designed to automatically detect cyberbullying on the Internet, addressing the challenges faced by manual monitoring efforts. By applying a brute force search algorithm to extract sophisticated patterns from language, the method shows improved results in text classification tasks compared to previous approaches, minimizing human intervention. Evaluation of this method reveals its superiority over earlier models, particularly in handling the complexities of language use in cyberbullying.