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Bias Meter

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Bias Meter

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IFLS, short for "I F***ing Love Science," is a unique and captivating news source that covers a wide range of topics, from Politics to Sports, Trendy Stories, and even Parody. Founded in 2012 by British science communicator and internet sensation Elise Andrew, IFLS quickly gained popularity for its engaging and accessible approach to science news. Headquartered in London, IFLS has become synonymous with breaking down complex scientific concepts into relatable and entertaining content, making science accessible to millions worldwide. While originally focused on science, IFLS has evolved to cover a diverse array of news and trending stories, with a touch of humor and wit. Its online presence can be found at iflscience.com, where it continues to be a go-to source for those who have a passion for learning and a love for all things curious and extraordinary.
IFLScience is ranked 956 among other media sources and has an average of 11,260,000 monthly visits according to Similar Web.
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IFLScience 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 Fair, and additional analytical insights are available in the other tabs.

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

    -24% Somewhat Liberal

  • Reliability
    65% Reliable Fair
  • Policy Leanings

    6% Center

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    -100%
    Liberal

    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

    69% negative

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