Detection of Cyberbullying in Online Comments Latest Advances and Challenges
Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua · 2023
Cyberbullying is a growing problem in today's digital society, with serious consequences for the mental health, professional life, and general well-being of victims. To combat this phenomenon, it is essential to effectively detect cases of cyberbullying online. In this article, we propose a cyberbullying detection model based on machine learning. We collect a dataset containing messages classified as cyberbullying, with multiclass labels. We then use machine learning techniques to extract relevant features from these messages and identify cases of cyberbullying. The results of our experiments show that our detection model achieves high accuracy, making it effective for detecting cyberbullying online. This research thus contributes to the fight against cyberbullying by proposing an innovative method for detecting this phenomenon online.