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Bias Meter

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Bias Meter

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Techdirt was founded in 1997 by Mike Masnick, who is also the founder of Floor64. The idea behind Techdirt came from Masnick's desire to create a platform that would analyze and offer insight into news stories about changes in government policy, technology, and legal issues that affect companies' ability to innovate and grow. What started as a personal blog eventually grew into a group blogging effort. Today, Techdirt is still owned and operated by Floor64, with Mike Masnick continuing to serve as the Editor-in-Chief. Based in Redwood City, California, Techdirt covers a wide range of topics including technology, innovation, intellectual property, civil liberties, and consumer rights. The website provides in-depth reporting and analysis on issues such as copyright, patents, privacy, free speech, and the impact of technological innovation on society. Techdirt has become known for its critical analysis of government policies and corporate practices that affect technology and innovation. **One interesting fact**: Despite being a relatively small publication, Techdirt has had a significant impact on tech policy discussions. The popular term "Streisand Effect," which refers to the phenomenon where attempts to suppress information lead to increased publicity, was coined by Techdirt founder Mike Masnick in 2005.
Techdirt is ranked N/A among other media sources and has an average of 790,444 monthly visits according to Similar Web.
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Techdirt has a Bias Score of -24% 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 Average, and additional analytical insights are available in the other tabs.

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

    -24% Somewhat Liberal

  • Policy Leanings

    -14% Somewhat Liberal

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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

    98% negative

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