CREATING A SAFER CYBERSPACE: HATE SPEECH MODERATION USING DEEP LEARNING

Abstract: This project is dedicated to developing an advanced system for the detection and moder- ation of hate speech on a social media platform. It involves data collection, pre- processing, and the application of deep learning algorithms to train a model. The system utilizes a database for efficient data storage and systematically evaluates comments on user- generated content. When it identifies offensive or hateful comments, it offers users the choice to either remove or keep them, while also allowing users to report profiles engaged in inappropriate behavior. The primary goal of this project is to improve content moderation on the social media platform, fostering a more inclusive and respectful online environment.