Explainer
How Bias Scoring Works
DailyComposite uses four AI models — Claude, GPT-4o, Grok, and Gemini — to independently analyze each article and assign a 1-5 bias score. The four scores are averaged into a single consensus number that appears alongside every article on the site.
The Panel
The Four Models and Why
No single AI model is perfectly neutral. Each was trained on different data, with different objectives and different blind spots. Running four independent models and averaging their scores produces a result that is more balanced than any one model alone. No model sees another's score before submitting its own.
Claude
claude-sonnet-4
Strong at nuanced language analysis and identifying subtle framing shifts.
GPT-4o
gpt-4o
Broad training data and strong multi-domain comprehension across political contexts.
Gemini
gemini-2.0-flash
Fast, multimodal model trained on a wide cross-section of web content.
Grok
grok-3-mini
Built with real-time data access and strong performance on political and news content.
Final score = average of all four models → (Claude + GPT + Gemini + Grok) ÷ 4
The Scale
How the 1-5 Scale Works
Strongly progressive framing, charged language, and limited representation of conservative perspectives.
Mild left-leaning framing. Factually grounded but source selection and emphasis skew progressive.
Balanced presentation. Multiple perspectives given fair treatment. Neutral language throughout.
Mild right-leaning framing. Factually grounded but source selection and emphasis skew conservative.
Strongly conservative framing, charged language, and limited representation of progressive perspectives.
Scores reflect framing and presentation only. They do not indicate factual accuracy or editorial quality.
Interpretation
What the Numbers Mean in Practice
A score is most meaningful in context. A single article at 2.1 may reflect one journalist's word choices. An outlet where every article scores between 1.5 and 2.2 tells you something more structural about how that organization covers news.
When the four AI models agree — all scoring between 1.8 and 2.2, for example — the consensus is strong. When one model scores 1.5 and another scores 3.5, the article is doing something more ambiguous, and the spread itself is worth noting.
A score near 3 does not mean the article is without perspective. It means the AI models, on balance, found the language and framing to be relatively balanced. That can include both a carefully reported piece and a milquetoast one that avoided taking any position at all.
Reading Reports
How to Read a Bias Report
Check the consensus score
The large number at the top is the average of all four models. This is the headline signal.
Look at the individual model scores
Each model reports its own score. A tight spread means high agreement. A wide spread means the article is doing something more complex.
Read the model reasoning
Each model explains why it assigned the score it did. This is often more useful than the number itself.
Find the other side
If an article scores 1.8, search DailyComposite for coverage of the same story from outlets that consistently score above 3.5. Read both.
FAQ
Common Questions
How often are articles re-scored?
Articles are scored once at ingestion. If you use the Bias Checker tool to analyze an article manually, it receives a fresh score at that time.
Can the AI models be wrong?
Yes. AI models can miss sarcasm, cultural context, or domain-specific language. The four-model consensus reduces this risk, but no automated scoring system is perfect.
Is there a political bias in the AI models themselves?
Researchers have found evidence that some large language models lean slightly left on certain political questions. Using four models from different companies reduces the influence of any one training dataset.
Does DailyComposite score international news?
Yes. DailyComposite indexes sources from multiple countries. Bias scores on international stories reflect framing relative to that story's context, not a US-centric political scale.
How do I access the full methodology?
The complete methodology, including the rubric given to each model and the scoring pipeline, is documented on the Methodology page.
See it yourself
Paste any article and get a full four-model bias report in seconds.