BiasFeed is a media literacy tool that takes real news articles, strips them down to their core facts, and then rebuilds them through three different editorial lenses: progressive, conservative, and centrist. The goal is to make the mechanics of media bias visible so readers can develop sharper critical thinking skills.

Each article goes through a three-step process. First, an AI model reads the source article and extracts only the verifiable facts, removing all opinion, framing, and charged language. Then, three separate AI personas rewrite the story from different political perspectives. Finally, readers can compare all versions side by side and use a bias highlight toggle to see exactly where the framing differs.

We do not claim to be unbiased. What we claim is transparency. By deliberately showing how the same facts can be spun in different directions, we make bias visible rather than pretending it does not exist. The fact extraction step uses an AI model that may carry its own subtle biases, which is why we always link to the original source article for verification.

Articles are selected from major international news outlets covering politics, policy, conflict, economics, and social issues. Two new analyses are published daily. Selection prioritises stories that are widely covered across the political spectrum, where framing differences are most revealing.

Yes. Use the contact page to suggest articles you would like to see deconstructed. Priority goes to stories with significant coverage across multiple outlets where bias comparison would be most informative.

BiasFeed uses large language models for fact extraction and perspective rewriting. The specific models may change as the technology evolves, but the methodology stays the same: extract facts first, then rebuild narratives separately. The AI is a tool in the process, not the editorial voice.