Bias Meter

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Liberal

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Liberal

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Center

Somewhat Conservative

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Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

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Based in Pasadena, California, Courthouse News was founded in 1990, and has chosen to focus on topics such as civil litigation, from the date of filing through the appellate level. Although specifically focused on civil litigation up through the appellate system, Courthouse News also focuses on other areas of litigation- such as Civil Rights, Criminal, Employment, Energy, Environmental, Financial, and many more. Due to their expert work that is of great use to those in the legal field, they have garnered 570,000 monthly visitors to their site- which can be found at https://www.courthousenews.com/
Court is ranked 9,087 among other media sources and has an average of 589,351 monthly visits according to Similar Web.
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Court 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 Fair, and additional analytical insights are available in the other tabs.

  • Bias Rating

    10% Center

  • Policy Leanings

    26% Medium Conservative

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
    Conservative

    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    Fair 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

    66% negative

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