Cyberbullying Detection and Prevention using Machine Learning

In the modern everyday life environment, where the Internet, social media platforms, and electronic communication have grown pervasive, cyberbullying, a new and disturbing type of bullying, has emerged. Cyberbullying is using internet communication and digital media to harass and victimize others. This review divides cyberbullying detection techniques into two major categories: text-based and multimodal approaches. Within these categories, we examine various suggested approaches, their benefits, and drawbacks. This study provides a complete summary of the current concerns and challenges in cyberbullying detection methods and possible remedies. In addition, we explore the future opportunities for expanding and refining these models to suit the developing cyberbullying situation