Cybercrimes on Social Media using Machine Learning

Cybercrime is a serious concern that affects teens on the internet. The number of people who use these platforms is steadily expanding. The person who uses these platforms becomes increasingly exposed to the negative effects of having an online presence as their use increases. Cybercrime is one of the biggest negative repercussions of utilising social media, among many others. It has resulted in misfortunes such as suicide and depression. People are bullied and scammed online, which has a devastating impact on their mental health. Increased knowledge and information from social media will contribute to a variety of data patterns for various types of research, such as human social behaviour, system security, sociology, and so on. Despite the fact that social media platforms were created to share information and interact with family and friends, they have also been used to promote fake news, false narratives, hate speech, and abusive communications. We presented a methodology for predicting different forms of cybercrime on social media, such as Cyberstalking, Cyberbullying, cyber hacking, cyber harassment, and cyber frauds, using data gathered from social media.