Cyberbullying Detection on Social Media: A Brief Survey
Fatima N. Ali Hussein, Hiba J. Aleqabie · 2023
this study examines and discusses the findings of several attempts to detect cyberbullying using machine learning and deep learning technology. It gives an overview of existing research that displays different tactics, plans, and procedures for recognizing instances of cyberbullying in material on a range of social networking sites. Social media platforms have made it possible for internet users to communicate their thoughts and emotions, however some users have taken advantage of these networks by indulging in cyberbullying and cyber-harassment where numerous terrible things occur.(delete) Bullying is the first phenomena(phenomenon) developed as a result of the proliferation of social networking platforms. It is described as defining a certain character in order to ridicule or verbally harass others. Previously, the phenomena (phenomenon was) were simply and between individuals, but it has now grown widespread and public, with no regard for values, conventions, or public respect. Because of the prevalence of cyberbullying and its detrimental influence on young people, there has been an increase in studies on its detection in recent years. Automated approaches are developed to detect cyberbullying activity. The study acts as a resource for aspiring researchers as they decide where to focus their research in this field.