Our Methodology: How Daily Composite Measures Media Bias

Daily Composite uses a multi-model AI consensus approach to analyze media bias in news articles. Rather than relying on a single algorithm or human editorial team, we leverage four of the world's most advanced language models to independently score each article.

The Scoring System

Every article is scored on a scale of 1 to 5:

• 1 — Strongly progressive/left-leaning framing
• 2 — Moderately progressive/left-leaning
• 3 — Neutral / balanced / centrist
• 4 — Moderately conservative/right-leaning
• 5 — Strongly conservative/right-leaning

What AI Models Do We Use?

Four frontier AI models independently analyze each article:

• Claude (Anthropic) — claude-sonnet-4-20250514
• GPT-4o (OpenAI)
• Gemini 1.5 Pro (Google)
• Grok-2 (xAI)

The four scores are averaged to produce a consensus score. This approach hedges against any single model's inherent biases or blind spots.

What Do the Models Evaluate?

Each model assesses the article based on:

• Word choice — emotive vs. neutral language, loaded terms
• Framing of facts — what is emphasized, what is downplayed
• Sources cited — which voices are amplified
• Perspective prominence — whose viewpoint leads the story
• Emotional language — fear, outrage, or celebration cues

What We Don't Measure

Bias scoring reflects framing and presentation, not factual accuracy. A factually accurate article can still have ideological lean in how it presents information. Daily Composite does not fact-check articles.

Data Privacy

When you use the Bias Checker tool, article text is sent to AI APIs for analysis and immediately discarded. We store only the numerical scores and a hash for shareable links. We never store full article text.

Frequency

Our RSS ingester runs every 30 minutes, collecting headlines from 26+ news sources across the political spectrum. New articles are queued for bias analysis within minutes of ingestion.

Frequently Asked Questions

How is media bias measured?

Daily Composite measures media bias using four large language models that independently analyze each article for word choice, framing, sources cited, prominence of perspectives, and emotional language.

What AI detects bias in news?

We use Claude (Anthropic), GPT-4o (OpenAI), Gemini 1.5 Pro (Google), and Grok-2 (xAI). Each model independently scores articles, and the results are averaged for a consensus score.

Is AI bias analysis accurate?

AI bias analysis captures linguistic and framing patterns but is not infallible. By using four independent models and averaging results, Daily Composite reduces single-model bias and provides a more robust consensus score.

Can I check any article?

Yes! Use our Bias Checker tool to analyze any URL or pasted text. Results are returned in seconds.