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Bias Meter

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Bias Meter

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Founded in 1961 by the Columbia University Graduate School of Journalism, the Columbia Journalism Review (CJR) was created to provide a platform for analyzing and improving journalism practices. The idea came from a need to hold the media accountable and to promote high standards in reporting. Today, CJR is owned by Columbia University and continues to be managed by a team of journalists and media experts dedicated to fostering excellence in journalism. CJR covers a wide range of topics related to the media, including journalism ethics, media criticism, and the impact of technology on news reporting. The publication features articles, essays, and research that engage with current issues in the media landscape. Based in New York City, CJR serves as a valuable resource for journalists, media professionals, and anyone interested in understanding the evolving world of news. One interesting fact: A unique aspect of CJR is its commitment to media accountability. The publication not only critiques journalism practices but also provides resources and guidance for journalists to improve their work. This dual focus on critique and support makes CJR a significant player in the conversation about the future of journalism.
Columbia Journalism Review is ranked 16,392 among other media sources and has an average of 232,557 monthly visits according to Similar Web.
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Columbia Journalism Review has a Bias Score of -10% Center 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 Average, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -10% Center

  • Policy Leanings

    4% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
    Conservative

    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    Average 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

    89% negative

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