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Contribute and learn

Our credibility scores are generated through a verifiable, people centered process. We train hundreds of citizens like you to help us catch poor logic, psychological bias and other missteps that make media misleading.

Using statistical analysis of our human-generated data, we determine credibility scores for articles, journalists, and news outlets that help make you a more informed citizen.

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How we generate credibility scores

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1

First, chrome extension users highlight suspicious information in their news articles, sending it along to Public Editor.

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2

An expert annotator receives and reads the article, highlighting problematic passages mapped to categories of misinformation. Passages are sent to specialist annotators for further review.

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3

Specialists in each category asses the problematic passages in close detail, identifying specific mistakes.

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4

Work of the specialists is statistically evaluated. When multiple specialists find the same mistake type, that mistake is factored into the article’s credibility score.

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5

A credibility icon combines all contributing mistakes into a single score displayed on the article for Public Editor users.

5

A credibility icon combines all contributing mistakes into a single score displayed on the article for Public Editor users.

people annotating

5

A credibility icon combines all contributing mistakes into a single score displayed on the article for Public Editor users.

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