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Bias Meter

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Popular Science, or PopSci for short, was founded in 1872 by Edward Livingston Youmans, a prominent American scientist and publisher. Youmans established the magazine with the goal of making scientific and technological advancements accessible to the general public. The idea was to create a platform that would educate and inspire readers about the latest developments in science, engineering, and innovation. Today, PopSci is owned by Recurrent Ventures, a media company that acquired the magazine in 2021. Based in New York City, PopSci covers a wide range of science and technology news, including topics such as space exploration, renewable energy, artificial intelligence, medical breakthroughs, and consumer electronics. The magazine also features articles on the intersection of science and society, exploring the social and ethical implications of scientific and technological progress. While primarily focused on science and technology, PopSci also occasionally covers related fields like environmental issues, outdoor recreation, and DIY projects. One interesting fact: PopSci is one of the oldest continuously published magazines in the United States, having been in circulation for over 150 years. Throughout its long history, the magazine has played a significant role in popularizing science and technology, inspiring generations of readers to engage with and understand the rapidly changing world around them.
Popular Science is ranked N/A among other media sources and has an average of 4,873,000 monthly visits according to Similar Web.
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Popular Science 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

  • Policy Leanings

    -4% Center

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    -100%
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    Good 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

    13% negative

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