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Bias Meter

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Bias Meter

  • Profile
Founded in 2011 by John Cook and Todd Bishop, GeekWire emerged as a fresh voice in the technology news landscape. The idea for GeekWire sparked when Cook and Bishop, both veteran technology journalists, saw an opportunity to create a platform that would cover the rapidly evolving tech scene in Seattle and beyond. They aimed to provide in-depth, quality reporting on startups, established tech giants, and everything in between. Today, GeekWire remains independently owned and operated by its co-founders, maintaining its commitment to journalistic integrity and innovation. Based in Seattle, Washington, GeekWire primarily focuses on technology news, covering a wide range of topics including startups, artificial intelligence, space exploration, and the business of tech. They also report on how technology intersects with other fields such as healthcare, education, and urban development. While their primary focus is on the Pacific Northwest tech ecosystem, they also cover national and global tech stories that have significant impact or interest. One interesting fact: A unique aspect of GeekWire is its annual "GeekWire Awards" ceremony, which has become a major event in the Seattle tech community. This awards show celebrates the top innovators and companies in the Pacific Northwest tech industry, highlighting achievements that might otherwise go unrecognized in the broader tech world.
GeekWire is ranked 5,377 among other media sources and has an average of 1,027,000 monthly visits according to Similar Web.
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GeekWire has a Bias Score of 12% Somewhat Right 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

    12% Somewhat Right

  • Policy Leanings

    20% Somewhat Right

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    -100%
    Liberal

    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

    N/A

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