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100%
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Bias Meter

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S&P Global traces its roots back to 1860 when Henry Varnum Poor published a book compiling financial information about U.S. railroad companies. This laid the foundation for what would become Standard & Poor's. The company evolved over time through various mergers and acquisitions, with a significant milestone being the merger of McGraw-Hill and S&P Global in 2016, which led to the creation of S&P Global as we know it today. Currently, S&P Global is a publicly traded company, owned by its shareholders, with Douglas L. Peterson serving as the President and CEO. Headquartered in New York City, S&P Global is not a traditional news outlet but rather a leading provider of financial intelligence and analytics. The company covers a wide range of topics related to global financial markets, including economic indicators, company ratings, commodity pricing, and industry analysis. Their content spans various sectors such as energy, metals, agriculture, and technology. While not focused on general news, S&P Global's insights and data have a significant impact on financial decision-making worldwide. One interesting fact: S&P Global is the company behind the widely recognized S&P 500 stock market index, which is considered one of the best representations of the U.S. stock market and is used as a benchmark for the performance of the overall economy. This index, created in 1957, has become an essential tool for investors and economists globally.
spglobal.com is ranked N/A among other media sources and has an average of 3,563,000 monthly visits according to Similar Web.
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spglobal.com has a Bias Score of 6% 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

    6% Center

  • Policy Leanings

    2% 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

    5% negative

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