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Bias Meter

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Bias Meter

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Ring of Fire is an online news and commentary platform that was founded in 2004 by Mike Papantonio, a prominent attorney and political commentator. Papantonio, who has a background in environmental and consumer protection law, launched Ring of Fire with the goal of providing a platform for critical analysis and alternative perspectives on a wide range of news topics. Today, Ring of Fire continues to be owned and operated by Papantonio and his team of journalists, commentators, and researchers. The website covers a diverse array of subjects, including politics, corporate misconduct, environmental issues, and social justice, all from a progressive point of view. By challenging mainstream narratives and offering in-depth, critical analysis, Ring of Fire aims to inform and empower its audience. One interesting fact: A unique aspect of Ring of Fire is its commitment to grassroots, viewer-supported funding, similar to the model employed by The Young Turks network. This approach allows the platform to maintain its editorial independence and focus on the issues that resonate with its progressive-minded audience, rather than being beholden to corporate sponsors or advertisers.
Ring of Fire is ranked 59,184 among other media sources and has an average of 23,735 monthly visits according to Similar Web.
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Ring of Fire has a Bias Score of 10% 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 Limited, and additional analytical insights are available in the other tabs.

  • Bias Rating

    10% Center

  • Policy Leanings

    10% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
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    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    Limited 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.