5 items
Real-time fake news detection — hover paragraphs, select text, or right-click images! 🔍 FAKE NEWS DETECTOR — Powered by RoBERTa AI Automatically detect misinformation while you browse the web! ✅ FEATURES: - Hover over any paragraph for instant fake news detection - Real-time AI analysis using RoBERTa transformer model - 98% accuracy tested on 50+ diverse articles - 100% accuracy on adversarial fake news - Source credibility checking (Reuters, BBC, WHO etc.) - LIME explainability — shows WHY content is fake - Web verification against Google Fact Check database - Multilingual support (Hindi, Spanish, French + 16 more) - Works on Facebook, Twitter, Instagram and news sites - Right-click any image to detect fake news in images (OCR) - Select any text for instant analysis 🧠 HOW IT WORKS: 1. Hover over any news paragraph 2. Wait 1 second 3. See REAL/FAKE verdict with confidence score 4. Click "Why?" for detailed explanation 🔬 TECHNOLOGY: - RoBERTa transformer model (125M parameters) - ONNX INT8 quantization for fast inference - Continuous learning from daily news collection - Pattern detection for subtle misinformation - Temperature-calibrated confidence scores 📊 PERFORMANCE: - 98% accuracy on comprehensive test suite - 100% on obvious fake news - 100% on subtle fake news - 100% on adversarial attacks - Supports 19+ languages 🌍 SUPPORTED SITES: News websites, social media (Facebook, Twitter, Instagram), blogs, and any webpage with text content. Free to use. No account required. No data collected. Privacy-first design. Built as part of M.Tech AI research at MNNIT Allahabad.
May 16, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.