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Bias Meter

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Bias Meter

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Mic is a digital media company that was founded in 2011 by Chris Altchek and Jake Horowitz, two young entrepreneurs who saw an opportunity to create a news and content platform that would cater to the interests and concerns of millennials and Gen Z audiences. The idea behind Mic was to provide a fresh, engaging, and socially-conscious approach to news and current affairs, with a focus on issues such as social justice, identity, and cultural trends. Based in New York City, Mic covers a wide range of news and topics, including politics, entertainment, technology, and social issues. While the website's primary focus is on issues and stories that are relevant to younger generations, it may also occasionally report on news and events that have a broader impact on society as a whole. Mic's coverage is known for its multimedia approach, its emphasis on visual storytelling, and its commitment to amplifying diverse voices and perspectives. One interesting fact: A unique aspect of Mic is its focus on digital-first, mobile-friendly content. The website was designed from the ground up to be optimized for consumption on smartphones and other mobile devices, reflecting the media consumption habits of its target audience. This approach has helped Mic establish a strong presence on social media and engage with its readers in a more dynamic and interactive way.
Mic is ranked N/A among other media sources and has an average of 1,010,000 monthly visits according to Similar Web.
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Mic has a Bias Score of -32% 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.

  • Bias Rating

    -32% Somewhat Liberal

  • Policy Leanings

    -22% Somewhat Liberal

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    -100%
    Liberal

    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

    20% negative

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