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BiasLens

ExtensionNews & Weather
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Overview

Detect writing bias in news articles using a locally trained machine learning model.

BiasLens analyzes news articles for political bias and sentiment directly in your browser using a machine learning model trained on thousands of labeled sentences. No article text is ever sent to a server — all processing happens on your device. HOW IT WORKS Open any news article and click the BiasLens icon. The extension scores each paragraph for bias (0–100) and calculates the overall sentiment direction of the piece based on the nouns, adjectives, and verbs used. FEATURES • Bias Score — machine learning model gives each paragraph a 0–100 bias rating • Live Highlights — color-coded paragraph highlights show bias intensity at a glance • Deep Analysis — see overall sentiment direction and which phrases drive the score • Auto-Highlight — automatically highlights bias when you visit supported news sites • Site Settings — choose which sites auto-highlighting activates on PRIVACY BiasLens collects no personal data. The ML model runs entirely within your browser. The only data stored locally is your auto-highlight preference and your list of allowed sites — both stay on your device and are never transmitted anywhere. Works on major English-language news sites. Auto-highlight can be enabled for any site you choose.

Details

  • Version
    1.0.0
  • Updated
    June 9, 2026
  • Offered by
    Hanbyul Kang
  • Size
    406KiB
  • Languages
    English (United States)
  • Developer
    Hanbyul Kang
    4123 12th Avenue Northeast 410 Seattle, WA 98105 US
    Email
    hanbyullukekang@gmail.com
    Phone
    +1 206-226-3666
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.

Privacy

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The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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