A study of machine learning-based models for detection, control, and mitigation of cyberbullying in online social media

Online social media (OSM) is an integral part of human life these days. Significantly, the young generation spends most of their time on social media in an active and passive state. The exponential growth of OSM has created an atmosphere of increased cybercrime. Although OSM provides a platform to connect people with similar thoughts and interests, it also exposes vulnerable users to mischievous elements in cyberspace. Social media connects and generates a massive amount of human activity-related data. However, the misuse of OSM introduces a novel way of expressing aggression and violence that exclusively happens online. In this research paper, we briefly discuss the background of Cyberbullying and the various machine and deep learning-based models incorporated to deal with it effectively. We also highlight the main challenges in designing a cyberbullying prediction model and address them.