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Bias Meter

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Bias Meter

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People magazine was founded on March 4, 1974, by Andrew Heiskell, who was the chief executive officer of Time Inc. at the time. The idea came from Heiskell's desire to create a magazine focused on people rather than issues, getting back to the individuals who were causing or caught up in the news. Richard Stolley, a former assistant managing editor at Life magazine, became the founding managing editor of People. Today, People is owned by Dotdash Meredith, a subsidiary of IAC (InterActiveCorp), following a series of acquisitions and mergers. Based in New York City, People primarily covers celebrity news, entertainment gossip, and human-interest stories. The magazine also reports on royals, crime, fashion, and lifestyle topics. While not extensively covering sports or politics, People does touch on these areas when they intersect with celebrity culture. The magazine has expanded its reach through various platforms, including print, digital, podcasting, TV, video, and social media. **One interesting fact**: Despite being a major voice in celebrity journalism today, People had humble beginnings. The magazine was initially printed in black and white except for its cover, and its first issue featured stories on topics as varied as Gloria Vanderbilt, Aleksandr Solzhenitsyn, and the wives of U.S. Vietnam veterans who were missing in action.
People is ranked 49 among other media sources and has an average of 154,700,000 monthly visits according to Similar Web.
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People has a Bias Score of -14% 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 Average, and additional analytical insights are available in the other tabs.

Note: People is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    -14% Somewhat Liberal

  • Policy Leanings

    0% Center

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    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

    57% negative

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