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MacRumors was founded on February 24, 2000, by Arnold Kim, a medical student at the time. Kim started the website as a hobby during his final year of medical school, aiming to create a platform dedicated to discussing and dissecting rumors about Apple products. The idea came from Kim's passion for Apple technology and his desire to share information about upcoming releases. Today, MacRumors is still owned and operated by Arnold Kim, who left his medical career in 2008 to focus on the site full-time.Based in Glen Allen, Virginia, MacRumors primarily covers news related to Apple Inc., including product releases, software updates, and corporate developments. The site focuses on technology news, particularly Apple's ecosystem of products and services. MacRumors delivers content through its website, forums, social media platforms, and a podcast. While not covering traditional sports or political news, the site does report on how these topics intersect with Apple and the tech industry.**One interesting fact**: MacRumors has a unique connection to Hollywood. Actor Jason Segel, known for his roles in various comedy films and TV shows, is a self-proclaimed fan of the site. In the DVD commentary for the 2008 film "Forgetting Sarah Marshall," Segel mentioned his love for MacRumors, even coining the tagline "tomorrow's Mac news today," which the site later officially adopted.
MacRumors is ranked N/A among other media sources and has an average of 10,080,000 monthly visits according to Similar Web.
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MacRumors has a Bias Score of 10% 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 Fair, and additional analytical insights are available in the other tabs.

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

    10% Center

  • Reliability
    55% Reliable Fair
  • Policy Leanings

    20% Somewhat Conservative

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    Center

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    -100%
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    Fair 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.