A Clearer View of the News
BiasedMeter is an AI-powered news hub that aggregates articles from across the internet and estimates their political perspective — right, left, liberal, conservative, or neutral — using transparent percentage indicators.
What We’re Building
Modern news consumption is fragmented and often shaped by invisible bias. Our goal is to provide a single place where readers can explore headlines from many sources while clearly understanding the perspective behind each story.
Using machine learning models trained on political language, framing, and source characteristics, the platform will estimate how articles align across the ideological spectrum. Each story will include a transparent breakdown — for example: 60% left-leaning, 25% center, 15% right-leaning.
These indicators are intended as contextual guidance, not definitive judgments. The objective is to help readers make informed decisions and recognize patterns across different outlets.
Planned Features
Bias Classification
AI analysis of political alignment with percentage scores and confidence indicators.
Multi-Source Aggregation
Headlines from major outlets, independent journalism, and international sources in one place.
Perspective Comparison
See how different outlets cover the same story and detect framing differences instantly.
Neutrality Indicators
Identify balanced reporting and sources presenting multiple viewpoints.
Personalized Feed
Customize topics while maintaining visibility across the political spectrum.
Transparent Methodology
Clear explanations of how classifications are produced and their limitations.
Independent research project focused on transparency in news consumption.
Not affiliated with any political organization or news outlet · Built with Astro, DaisyUI, and AI-driven analysis