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Bias Meter

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Bias Meter

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The JHU Hub was founded in 2013 by Johns Hopkins University as part of an initiative to create a centralized news center for the diverse activities across the university's various departments and campuses. The idea came from the university's leadership, who recognized the need for a platform to showcase the wide range of research, discoveries, and events happening at Johns Hopkins. Today, the JHU Hub is owned and operated by Johns Hopkins University as its official news center. Based in Baltimore, Maryland, the JHU Hub covers a broad spectrum of topics related to Johns Hopkins University and its affiliated institutions. This includes news about scientific research, medical breakthroughs, student life, university events, sports, arts and culture, and more. The Hub serves as a comprehensive source of information for the Johns Hopkins community, including students, faculty, staff, alumni, and the general public interested in the university's activities and achievements. **One interesting fact**: Despite being a university news platform, the JHU Hub has achieved significant recognition in the broader journalism world. In 2018 and 2019, the Hub won multiple awards at the prestigious CASE (Council for Advancement and Support of Education) Circle of Excellence Awards, demonstrating its commitment to high-quality reporting and its impact beyond the university community .
The Hub is ranked N/A among other media sources and has an average of 358,534 monthly visits according to Similar Web.
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The Hub has a Bias Score of -4% 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 Average, and additional analytical insights are available in the other tabs.

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

    -4% Center

  • Policy Leanings

    16% Somewhat Conservative

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    -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

    N/A

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