Sarsij Tripathi

You are already at the latest version Automated fake news detection has advanced substantially through transformer-based classification, yet two critical gaps persist in the literature: static models degrade as misinformation tactics evolve, and high-performing systems rarely reach end users in accessible forms. This paper addresses both gaps through a system that couples RoBERTa-based classification with a post-deployment continuous learning pipeline and a browser-native Chrome extension.