Bias Meter

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Bias Meter

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PetaPixel, a renowned digital photography and technology news source, was established in 2009 by founder Michael Zhang. Headquartered in San Francisco, California, PetaPixel has gained widespread recognition for its in-depth coverage of photography trends, camera gear reviews, and cutting-edge photography technology. While it primarily focuses on the world of photography, offering insights into the latest camera advancements, photography techniques, and industry developments, PetaPixel occasionally delves into the realm of trending stories and noteworthy parodies related to photography. This online platform has become an invaluable resource for both professional photographers and photography enthusiasts alike. As of my last knowledge update in September 2021, the ownership details may have changed, so for the latest information, please visit their website at petapixel.com.
PetaPixel is ranked N/A among other media sources and has an average of 5,729 monthly visits according to Similar Web.
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PetaPixel has a Bias Score of -4% 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

    -4% Center

  • Policy Leanings

    16% Somewhat Conservative

    Extremely
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    Somewhat Liberal

    Center

    Somewhat Conservative

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    -100%
    Liberal

    100%
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    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

    73% negative

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