Cyber Bullying Detection Using Machine Learning

Abstract

In today's world, social media is the go-to way for people to connect online. But along with all the good stuff, like staying in touch with friends and family, there's also been a rise in some not-so-nice stuff, like online bullying and harassment. Cyberbullying is when people use the internet to hurt others, and it can mess with someone's mental and physical health. It's especially tough for groups like women and kids, and sometimes it can even make them feel like they don't want to live anymore. Similarly, online harassment has become a big problem too. This is when people use the internet to bother or intimidate others. We've seen lots of cases where private messages are shared without permission, fake stories are spread around, or people are targeted with sexual comments. Because of these issues, researchers are now focused on finding ways to identify and stop bullying language or content on social media. This study aims to use machine learning a type of technology that helps computers learn from data to create a system that can detect and deal with online abusive and bullying messages effectively.