Lens is a chrome extension that checks the page you are on and gives you signals for:

• Reliability (how trustworthy the page looks)
• Bias score (1 to 100)
• Risk level (Low, Medium, High)
• Short explanation of why it was flagged

In shorthand, "Lens" is a fake news detector that as a Chrome side-panel give users an instant credibility check on any article page by combining transparent rule-based analysis with lightweight AI explanation: the extension reads the visible page content (headline, body text, source domain, metadata like author/date, and citation links), then computes a reliability score, a 1–100 bias score, and a risk level using deterministic signals such as source reputation profiles, sensational-language detection, citation depth, and transparency indicators so users can see consistent, explainable outputs rather than black-box predictions; the product is built with a modern TypeScript stack (React UI, Vite build pipeline, and a Manifest V3 Chrome runtime with content scripts + background worker), stores local history in browser storage for fast repeat checks, and uses Ollama Cloud API for a short natural-language summaries on why the current source was flagged or passed as reputable.

When you click Analyze, Lens reads visible text on the current page and checks things like:

• Source quality profile
• Sensational wording
• Citation depth
• Basic transparency signals (author/date)

Repository link: https://github.com/Ayush-Narayanaswamy/Lens

Clone it:

git clone https://github.com/Ayush-Narayanaswamy/Lens.git
cd Lens

1. Install Node.js LTS from https://nodejs.org
2. In the project folder, run:

npm install
npm run build

This creates a dist folder with the extension files.

1. Open Chrome and go to: chrome://extensions
2. Turn on Developer mode (top right)
3. Click Load unpacked
4. Select the dist folder from this project
5. Pin Lens from the Extensions menu

1. Open any news/article page
2. Click the Lens icon
3. Click Analyze this page
4. Read:
   • Reliability score
   • Bias percentage
   • Confidence
   • Risk level
   • Why flagged list

You can also open History from inside Lens to view all the old sites that Lens has analyzed