⚖️ Media Bias
How Headlinne Calculates Bias
Headlinne uses AI to analyze article text, source reputation, and framing patterns to assign a five-point political bias score.
By Headlinne Editorial Team · Updated on
The analysis pipeline
When an article is ingested, its full text is sent to an AI model trained to evaluate political framing. The model considers language patterns, cited sources, headline-body alignment, and the known leaning of the publishing outlet.
The five-point scale
Articles are classified as Left, Lean Left, Center, Lean Right, or Right. This scale is calibrated primarily against US political framing, which is the dominant context for most ingested English-language sources.
Source reputation weighting
Known outlet leanings provide a baseline, but the model also analyzes individual article text. A typically left-leaning outlet can publish a center-framed article, and the score reflects the specific piece—not just the brand.
Limitations and accuracy
AI bias scoring is probabilistic, not definitive. International stories, non-political topics, and opinion pieces may receive less accurate scores. Headlinne continuously refines the model but encourages readers to use scores as one input among many.
Key takeaways
- ✓Bias is calculated by AI analyzing text, framing, and source reputation.
- ✓Scores reflect individual articles, not just outlet brands.
- ✓The model works best on US political news and has known limitations.
Frequently asked questions
Can I disagree with a bias score?
Absolutely. Scores are AI estimates. Your critical judgment always takes precedence.
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