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Fairness & Accuracy in Reporting
Media Bias Rating

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Fairness and Accuracy in Reporting (FAIR) is a media critique organization founded in 1986 by Jeff Cohen and Martin A. Lee and is based in New York. The organization produces Extra magazine and Counterspin radio program and also monitors for bias and advocates for more diversity in the media space. It is ranked 231,671 globally and has an average of 264,200 visits on Similar Web.

A.I. Ratings
Bias Score
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Our A.I. media bias rating of Fairness & Accuracy in Reporting shows what policies Fairness & Accuracy in Reporting supports and opposes including Fairness & Accuracy in Reporting's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.
Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

8% Center

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Excellent Reliability

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

Policy Leanings
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Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.
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Conservative

Excellent Reliability

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
Analyst Ratings
Bias Score
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Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

The Analyst Bias Score is on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Author Bias
Reliability
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Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
News Source Ranking
Fairness is ranked N/A among other media sources and has an average of 155,321 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Fairness using our Bias Meter technology to provide readers better insight into the conservative and liberal leanings present in today’s media. Here is a list of biases found in articles, political policies, and politician biases from Fairness:

Fairness & Accuracy in Reporting Articles

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Ratings are based on recent news using data science and A.I. technology.