Overview
Clearview detects political bias in news, helping you identify left- or right-leaning content with AI-powered sentiment analysis.
See the Bias, Read Smarter Clearview helps you detect political bias in news articles, providing insights into whether content leans left or right. Using AI-powered sentiment analysis and natural language processing (NLP), Clearview analyzes language, sentiment, and political references to generate a bias score from -100 (left) to +100 (right) along with a confidence level. How It Works 1. Open a news article in Chrome. 2. Click the Clearview icon to analyze the content. 3. Get a bias score along with a confidence rating. 4. Review flagged sections to see what influenced the analysis. Key Features - Bias Score & Confidence Rating – Instantly see if an article leans left (-100) or right (+100). - AI-Powered Sentiment Analysis – Uses NLP to evaluate tone, political language, and sentiment. - Flagged Sections – Highlights key phrases that contribute to bias. - Dark Mode Support – Seamlessly switch between light and dark themes. - Works Across Millions of News Sites – Analyze articles from any publication. - Private & Secure – No tracking, no data collection. All analysis happens locally in your browser. Why Use Clearview? - Stay Informed – Understand the bias behind the news you read. - Compare Sources – See how different outlets report the same story. - Think Critically – Spot patterns in political language and media framing. No Tracking, Just Insights Clearview processes all text locally in your browser. No data is sent to external servers—your news consumption stays private.
Details
- Version1.0.0
- UpdatedFebruary 25, 2025
- Offered byArsh Jafri
- Size776KiB
- LanguagesEnglish (United States)
- Developer
Email
arshj7860@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
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
