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Bias Meter

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Bias Meter

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Mashable was founded in 2005 by Pete Cashmore, a then 19-year-old entrepreneur from Aberdeen, Scotland. Cashmore started the website from his bedroom as a technology blog, aiming to provide insights and news about the rapidly evolving world of social media and digital innovation. The idea behind Mashable was to create a platform that could help people navigate and understand the emerging digital landscape. In 2019, Mashable was acquired by Ziff Davis, a digital media company, which continues to operate the site today. Based in New York City, with offices in several other major cities worldwide, Mashable covers a wide range of topics including technology, digital culture, entertainment, social media, business, and lifestyle. While the website's roots are in tech journalism, it has expanded its coverage to include broader cultural and societal issues, often viewed through the lens of how technology impacts various aspects of modern life. Mashable is known for its engaging and accessible style of reporting, making complex tech topics understandable to a general audience. One interesting fact: A unique aspect of Mashable is its role in popularizing the concept of “social media day.“ In 2010, Mashable launched the first-ever Social Media Day as a way to recognize the impact of social media on global communication. This annual event, celebrated on June 30th, has since become a worldwide phenomenon, with meetups and events organized in numerous countries to celebrate the power of social media in connecting people and ideas.
Mashable is ranked N/A among other media sources and has an average of 19,780,000 monthly visits according to Similar Web.
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Mashable has a Bias Score of -36% 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

    -36% Somewhat Liberal

  • Policy Leanings

    10% 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

    90% negative

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