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Bias Meter

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Bias Meter

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Founded in 2005 by Adam Gaffin, Universal Hub was created to provide a platform for news and information about Boston and its surrounding areas. The idea came from Gaffin's passion for local journalism and his desire to create a space where residents could find updates on various topics affecting their community. Universal Hub is currently owned and operated by Gaffin, who continues to manage the site and its content. Today, Universal Hub covers a wide range of topics, including local news, politics, transportation, crime, and community events. Based in Boston, Massachusetts, the platform aims to keep residents informed about what’s happening in their city and surrounding neighborhoods. Universal Hub is known for its focus on hyper-local news, providing insights and updates that are often overlooked by larger media outlets. One interesting fact: A unique aspect of Universal Hub is that it encourages community engagement by allowing readers to submit their own news tips and stories, making it a collaborative platform where locals can contribute to the conversation about their city. This approach helps foster a sense of community and keeps the content relevant to the interests of Boston residents.
Universal Hub is ranked 8,016 among other media sources and has an average of 609,932 monthly visits according to Similar Web.
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Universal 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: Universal Hub is a news aggregator and may have limited or no original political articles.
  • Bias Rating

    4% Center

  • Policy Leanings

    -4% Center

    Extremely
    Liberal

    Very
    Liberal

    Moderately
    Liberal

    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
    Conservative

    Extremely
    Conservative

    -100%
    Liberal

    100%
    Conservative

    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

    33% negative

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