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Bias Meter

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Bias Meter

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Naked Security was founded in October 2010 by Carole Theriault and a team at Sophos, a cybersecurity company. The idea came from the need to provide a digest of computer security issues and threats in language that anybody could understand. Carole and her colleagues wanted to create a platform that would explain complex security topics with personality and clarity. Today, Naked Security is owned and operated by Sophos, which is a subsidiary of Thoma Bravo, a private equity firm. Based in the United Kingdom, Naked Security covers a wide range of topics related to cybersecurity, including malware, data breaches, privacy issues, and technology news. Naked Security delivers its content through articles, podcasts, and videos, reaching a global audience interested in staying informed about the latest developments in the world of digital security. **One interesting fact**: Despite being a cybersecurity news site, Naked Security has its roots in a plastic toy frog named Freddi Staur. The site's first-ever blog post, written by Graham Cluley (an early contributor), was about using this toy frog to demonstrate the dangers of accepting fraudulent friend requests on Facebook, showcasing the site's commitment to explaining complex security issues in creative and accessible ways.
Naked Security is ranked N/A among other media sources and has an average of 508,887 monthly visits according to Similar Web.
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Naked Security 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.

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

    -4% Center

  • Policy Leanings

    -36% Somewhat Liberal

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    -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

    N/A

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