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Bias Meter

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Bias Meter

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Newser was founded in 2007 by Michael Wolff, a media critic and author. Wolff's idea for Newser was to create a news aggregation platform that would provide readers with a concise and visually-driven way to stay informed on current events. The goal was to offer a more digestible and engaging alternative to traditional news websites, which Wolff felt were often overwhelming with their abundance of information. Today, Newser is owned by Purch, a digital media and commerce company. Based in New York City, Newser covers a wide range of news topics, including politics, business, technology, entertainment, and sports. The website aggregates news stories from various sources and presents them in a concise, easy-to-read format, often with accompanying images or videos. Newser's focus is on providing a quick overview of the day's top stories, making it a popular destination for readers who want to stay informed without having to sift through lengthy articles. One interesting fact: A unique aspect of Newser is its use of artificial intelligence (AI) technology to curate and summarize news stories. The website employs an AI-powered system that analyzes news articles and distills them into concise, bite-sized summaries. This allows Newser to quickly aggregate and present a large volume of news content in a visually appealing and user-friendly way, setting it apart from traditional news aggregators.
Newser is ranked 1,651 among other media sources and has an average of 4,638,000 monthly visits according to Similar Web.
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Newser 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 Average, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -4% Center

  • Policy Leanings

    12% Somewhat Conservative

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    Somewhat Liberal

    Center

    Somewhat Conservative

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    -100%
    Liberal

    100%
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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

    55% positive

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