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Bias Meter

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Bias Meter

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Founded in 1986 by Jeff Cohen and a group of media critics, Fairness & Accuracy in Reporting (FAIR) was established to promote media reform and provide critical analysis of news coverage in the United States. The founders came up with the idea after noticing a lack of diversity and fairness in mainstream media reporting, and they wanted to create a platform that would hold media outlets accountable. Today, FAIR operates as a non-profit organization. Based in New York City, FAIR covers a wide range of topics including politics, media criticism, social justice, and public interest issues. The organization aims to inform the public about media practices and biases, offering articles, reports, and resources that encourage critical thinking about the news and its impact on society. One interesting fact: A unique aspect of FAIR is its commitment to providing a platform for voices that are often marginalized in mainstream media, including perspectives from activists, scholars, and community leaders, which helps to broaden the conversation around important social issues.
Fairness is ranked N/A among other media sources and has an average of 155,321 monthly visits according to Similar Web.
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Fairness has a Bias Score of -16% Somewhat Liberal which is based on a variety of factors including its policy and politician leanings, article ratings, and the use of biased language. Its Reliability is rated as Good, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -16% Somewhat Liberal

  • Policy Leanings

    -36% Somewhat Liberal

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    Good 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.

  • Politician Portrayal

    N/A

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