Bias Meter

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Bias Meter

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Mining Engineering magazine was founded in 1949 by the Society for Mining, Metallurgy & Exploration (SME), a professional organization dedicated to advancing the mining and mineral processing industries. The idea came from SME's desire to create a premier journal that would connect buyers with manufacturers and service providers in the worldwide exploration, mining, and mineral processing industry. Today, Mining Engineering is still owned and operated by SME, continuing its tradition of publishing excellence for over 70 years.Based in the United States, Mining Engineering covers a wide range of topics related to the mining industry, including technology advancements, product innovations, industry news, and peer-reviewed technical papers. While they don't focus on traditional sports or entertainment news, they do explore how these sectors intersect with mining when relevant. The magazine delivers content through its print edition, website, and various digital platforms, reaching mining professionals and decision-makers worldwide.**One interesting fact**: Despite being a specialized industry publication, Mining Engineering has a surprisingly broad reach. It is supported by more than 14,000 paid society members and is considered the premier mining journal worldwide, showcasing its significant influence in the global mining community despite its niche focus.
Mining Engineering is ranked N/A among other media sources and has an average of 9,605 monthly visits according to Similar Web.
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Mining Engineering has a Bias Score of 8% 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 Poor, and additional analytical insights are available in the other tabs.

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

    8% Center

  • Policy Leanings

    0% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
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    Somewhat Liberal

    Center

    Somewhat Conservative

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    Conservative

    Very
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    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    Poor 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

    39% negative

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