• Version
• Download 70
• File Size 886.17 KB
• File Count 1
• Create Date 5 May 2024
• Last Updated 5 May 2024

Cyberbullying Detection and Prevention On Social Media

Authors: Madhusudhanam MR , Likith US, Ajay Sarangam , Mayur AB , Nayana R

Abstract—Social media have become a very viable medium for communication, collaboration, exchange of information, knowledge, and ideas. However, due to anonymity preservation, the incidents of hate speech and cyberbullying have been diversified across the globe. Formulating solution strategies for automatic detection of cyber aggression and hate speech, varying from machine learning models with vast features to more complex deep neural network models and different social media platforms.

To address this gap, we have performed extensive preprocessing for monitoring social media contents and in making cyberspace a secure and safer place for all segments of society.

Index Terms—cyberbullying, cyber aggression, Social media