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Bias Meter

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-100%
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100%
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Bias Meter

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STL.News was founded in 2016 by Robert Thorn, a St. Louis-based entrepreneur with a background in digital marketing and web development. Thorn saw an opportunity to create a news platform that would serve the St. Louis area while also providing national and international coverage. His vision was to offer a mix of local and global news in a user-friendly digital format. Today, STL.News remains independently owned and operated by Thorn and his team. Based in St. Louis, Missouri, STL.News covers a wide range of topics including local St. Louis news, national politics, business, sports, entertainment, and technology. While the platform has a strong focus on St. Louis and the surrounding areas, it also provides coverage of major national and international events. The website aims to be a comprehensive news source for readers interested in both local happenings and broader world events. One interesting fact: Despite its name suggesting a focus solely on St. Louis, STL.News has developed a unique network of contributors from various parts of the United States and around the world. This allows the platform to offer firsthand reporting and local perspectives on events happening in different regions, giving readers a more diverse and global news experience than one might expect from a St. Louis-based news outlet.
STL.News is ranked 116,186 among other media sources and has an average of <5000 monthly visits according to Similar Web.
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STL.News 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

  • Reliability
    45% Reliable Average
  • Policy Leanings

    16% Somewhat Conservative

    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

    82% negative

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