Bias Meter

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Bias Meter

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MetaFilter was founded on July 14, 1999, by Matthew Haughey, a web designer and programmer. Haughey created MetaFilter as a community weblog to showcase the best content on the web, with the idea that users would "filter" and share interesting links they found online. The site's name comes from the concept of being a "filter of filters." In May 2022, ownership of MetaFilter was transferred to Jessamyn West, a long-time moderator and the site's first employee. Today, MetaFilter is owned and operated by MetaFilter LLC.Based in the United States, MetaFilter covers a wide range of topics including current events, politics, technology, arts and culture, and human interest stories. While not a traditional news site, it serves as a platform for users to share and discuss content from across the internet. The site delivers this content through its main page, various subdomains like Ask MetaFilter for questions and answers, and MetaTalk for community discussions. MetaFilter has a global user base, with members contributing and discussing content from around the world.**One interesting fact**: Despite being a relatively small online community, MetaFilter has played a significant role in uncovering several internet hoaxes and scams. In 2001, the site's users were instrumental in exposing the Kaycee Nicole hoax, where a woman had created a fake online persona of a teenage daughter dying of cancer, fooling many bloggers and garnering widespread sympathy and gifts.
Metafilter is ranked 1,913 among other media sources and has an average of 3,347,000 monthly visits according to Similar Web.
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Metafilter has a Bias Score of -14% 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 Fair, and additional analytical insights are available in the other tabs.

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

    -14% Somewhat Liberal

  • Policy Leanings

    32% 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.