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Bias Meter

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Liberal

Very
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Very
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Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

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CNBC, established in 1989 by NBC Universal, is headquartered in Englewood Cliffs, New Jersey. It provides extensive coverage of financial markets, economics, and corporate affairs. It is known for its market analysis, investment insights, and in-depth interviews with key industry figures. CNBC is owned by NBC Universal News Group and has sister channels like NBC News, MSNBC, and Telemundo. It has a strong presence in both traditional broadcasting and digital media and some of their top news programs are Worldwide Exchange and Squawk Box.
CNBC is ranked 78 among other media sources and has an average of 129,000,000 monthly visits according to Similar Web.
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CNBC 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

  • Reliability
    73% Reliable Good
  • 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

    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

    57% negative

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