Real-Time Misinformation & Fake News Detector with Explainable BERT
Deep bidirectional transformer NLP model evaluating news credibility, emotional sensationalism bias, and source provenance with Chrome Extension integration.
Detailed Project Overview
A full-stack NLP system built on RoBERTa and DistilBERT. Extracts linguistic cues, lexical clickbait markers, and cross-references claim statements against verified fact-checking APIs. Features a browser extension that evaluates news articles in real-time.
Academic Problem Statement
Viral misinformation on social channels distorts public health advice and electoral integrity. Everyday readers need an instant browser-level credibility score.
Proposed Methodology & Flow
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