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Bias Meter

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Bias Meter

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Maryland Matters was founded in 2017 by Josh Kurtz, a veteran journalist with over 30 years of experience covering Maryland politics and government. Kurtz, along with a team of experienced reporters and editors, launched the website with the goal of providing in-depth, nonpartisan coverage of Maryland's political landscape at a time when many traditional news outlets were scaling back their state government reporting. Maryland Matters operates as a nonprofit organization and is supported by donations from readers, foundations, and other sources. Based in Takoma Park, Maryland, Maryland Matters primarily focuses on state and local politics, policy issues, and government affairs in Maryland. The website covers a wide range of topics including legislative sessions, elections, environmental issues, education, healthcare, and economic development. While the main emphasis is on political news, Maryland Matters also reports on other areas of interest to Maryland residents, such as community events and cultural happenings across the state. One interesting fact: A unique aspect of Maryland Matters is its commitment to transparency and accountability in journalism. The website publishes an annual report detailing its finances, major donors, and editorial policies, allowing readers to understand the organization's funding sources and operational practices. This level of transparency is relatively uncommon in the news industry and reflects Maryland Matters' dedication to building trust with its audience.
Maryland Matters is ranked N/A among other media sources and has an average of 156,297 monthly visits according to Similar Web.
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Maryland Matters has a Bias Score of -14% 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

    -14% Somewhat Liberal

  • Policy Leanings

    10% Center

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    Moderately
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    Somewhat Liberal

    Center

    Somewhat Conservative

    Moderately
    Conservative

    Very
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    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

    99% negative

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