Cross-Source Intelligence

Political Bias Detector

Track narrative framing across outlets with ML ensemble predictions, lexical signals, and confidence diagnostics in one streamlined interface.

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Live data via Serper (Google News)

Note: NewsAPI developer accounts are restricted to localhost only with a 100 req/day limit — they cannot be used in production. These articles were pre-fetched and bias-analyzed in development mode. Live fetching now uses Serper (Google News) instead.

How Political Bias Detection Works

What We Analyze

Our system analyzes news articles from multiple sources to detect political bias patterns. We examine:

  • • Article content, headlines, and language framing
  • • Source credibility and historical bias patterns
  • • Cross-source coverage of the same topics
  • • Sentiment and tone in political reporting

Key Features Explained

Deep ML Classification: Uses a fine-tuned RoBERTa transformer model (91.9% accuracy) trained on 32,000+ articles to predict political bias across the spectrum.
Model Confidence: Shows how certain the model is about its classification (0-100%). Higher confidence indicates more definitive bias signals.
Bias Spectrum: Visualizes the distribution of articles across five categories: Left-Leaning, Center-Left, Centrist, Center-Right, and Right-Leaning.

How to use: Click "Fetch Latest News" to load articles, then use "Deep ML Classification" to apply bias detection. Use filters to focus on specific sources, bias categories, or time ranges.

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