News Credibility Analyzer

Analyzes news articles for credibility using ML. Helps identify satirical content and potential misinformation patterns.

As of May 2026, News Credibility Analyzer has 2 users and a 5.00/5 rating from 1 reviews in the Education category.

Usersno change0%
2
2
Ratingno change0%
5.00
1 reviews
Reviewsno change0%
1
Version
1.0.0
Manifest V3

History

5 snapshots

Tracking since Apr 1, 2026.

3.1620.8399999999999999Apr 1, 2026May 31, 2026
View as table
DateUsersRatingReviewsVersion
Apr 1, 202625.0011.0.0
Apr 21, 202635.0011.0.0
May 6, 202625.0011.0.0
May 18, 202625.0011.0.0
May 31, 202615.0011.0.0
Now25.0011.0.0

Permissions & access

Permissions
activeTabstorage
Host access
http://*/*, https://*/*

Screenshots

News Credibility Analyzer screenshot 1

About

Fake News Detector helps you browse smarter by instantly flagging satirical, conspiratorial, and misleading news—without sacrificing your privacy.

Built for real-time use, the extension combines curated domain knowledge, pattern matching, and a lightweight machine learning ensemble to surface questionable content in under 50ms—all locally in your browser. No data is ever sent to servers: everything runs client-side, preserving your browsing privacy.

Key Features:

Real-Time Analysis: Articles are evaluated as you browse (≈29ms per page) so you get instant signals.

Multi-Type Detection: Differentiates satire, conspiracy theories, medical misinformation (e.g., “miracle cure” claims), and political misinformation.

Domain Recognition: Immediately flags known parody/conspiracy domains (e.g., The Onion, Babylon Bee, InfoWars) with high confidence.

Pattern Matching: Detects linguistic cues through curated fake/satirical/real news patterns to supplement the ML signal.

Ensemble Machine Learning: Combines Logistic Regression and Naive Bayes with TF-IDF n-gram features, optimized down to 295 top signals for fast in-browser inference.

Privacy-First: All inference happens locally—no network requests, no tracking, no data collection.

Lightweight: Browser model is small (~500KB) with aggressive optimization for speed and memory.

Confidence Scoring & Thresholding: Only surface warnings when multiple signals align (configurable confidence cutoff).

Rich UI Feedback: Color-coded indicators and banners (satire, misinformation, reliable) with one-click dismiss and auto-hide.

How It Works:

Domain Check: Fast lookup against known problematic sites for immediate classification.

Pattern Analysis: Regular expressions scan article text for known fake/satirical phrasing.

Statistical Inference: A trimmed-down ensemble ML model processes the cleaned text to provide a probabilistic score.

Fusion: Signals are weighted (domain, pattern, and ML) to compute an overall confidence and trigger a user-visible alert if warranted.

Why Use It:

Stay better informed by spotting misleading or parody content before you share it.

Avoid echo chambers and accidental spread of misinformation.

Keep your data private—no external APIs, no telemetry.

Lightweight and fast; won't slow down your browsing.

Limitations & Transparency:

Trained primarily on political/news data from the 2016 election era—some emerging topics may require retraining.

Conservative design favors recall; occasional legitimate articles may be flagged (false positives), but multi-layer validation reduces noise.

Getting Started:

Install and enable the extension.

Browse news sites normally.

Watch for the popup indicator or banner if content is flagged—hover or click for details.

Open Source & Auditable: The entire system is transparent and can be reviewed or contributed to on GitHub.

Support & Contribution: Fork the repo, open issues, or submit improvements via pull requests.

Technical

Version
1.0.0
Manifest
V3
Size
24.74KiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
dghanobbmnlkdfkdlemmaigjaoijldjp
Developer ID
u94751d1ea4c9e4002adcbdd2ccd12cb7
Developer Email
[email protected]
Created
Aug 6, 2025
Last Updated (Store)
Aug 6, 2025
Last Scraped
May 31, 2026
Website
Support URL
Privacy Policy

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Data sourced from the Chrome Web Store · last verified May 31, 2026.