Automated Cyber Harassment Surveillance: Enhancing Social Media Safety
D. Venkateswara Rao, Shravya Shri Sahu, Kilaparthi Durga Mallesh, Vedulla Naga Venkata Nitin, Bandaru Avinash · International Journal for Research in Applied Science and Engineering Technology · 2025
Abstract: The increase in the use of social media platforms has coincided with an increase in cyber harassment and child predation, leading to significant safety issues. This research presents an AI-driven system aimed at detecting cyber harassers and potential child predators using machine learning (ML) and natural language processing (NLP). The system utilizes a Random Forest Classifier in conjunction with TF-IDF vectorization to classify user messages into various categories, such as hate speech, offensive content, and neutral interactions. Unlike conventional methods, which depend largely on manual oversight and basic keyword filtering, this approach improves accuracy, contextual understanding, and automated responses. The system is implemented with a flask-based backend and a react-powered front-end, facilitating real-time content analysis, automatic threat detection, and an administrative dashboard for moderation. The experimental findings highlight the system's capability to identify harmful online behaviors, providing a proactive solution to ensure a safer social media environment, especially for atrisk users