A Review on Cyberbullying Detection on Twitter Dataset
Avantika Jalote, Karim Sohail Khan Patan, Kevin Ninan Mathew, Mansi Nandkar, Pranav More · 2024
Cyberbullying on Twitter has emerged as a pervasive and distressing issue in the digital age, posing significant threats to the well-being of users. This review study delves into the critical issue of cyberbullying on Twitter, highlighting its devastating consequences on victims, from emotional distress to offline repercussions. While Twitter has taken commendable steps to combat cyberbullying, the ever-evolving tactics of cyberbullying pose ongoing challenges. The objective of this review study is to explore the potential for mitigating cyberbullying through the implementation of a robust cyberbullying detection system. By utilizing sentiment analysis, the study proposes the development of a tool that can proactively identify and address instances of cyberbullying. This tool aims to empower Twitter users and the platform itself to collaboratively create a safer and more respectful online environment. This study underscores the urgent need to address cyberbullying on Twitter and emphasizes the importance of technology-driven solutions to combat this issue. By fostering a culture of digital inclusivity and kindness, to the study contributes to the broader conversation about online safety and inspire innovative approaches for a more secure and respectful online environment.