Bias Meter

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Bias Meter

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WMAR-TV was founded in 1947 and has the distinction of being Maryland's first television station. It was initially owned by The A.S. Abell Company, the same company that owned The Baltimore Sun newspaper. Today, the station is owned by the E.W. Scripps Company, a diversified media company with interests in television stations and national television networks.Based in Baltimore, Maryland, WMAR-TV provides a wide range of news, from Local and National news to Weather and Sports updates. They also offer special coverage on Health, Education, and Consumer issues. Coverage extends to the greater Baltimore area and all over Maryland.One interesting fact: WMAR-TV is historically significant as it was the first television station in Baltimore and the eleventh television station in the United States. The station has been on the air for more than 70 years, making it a long-standing institution in Maryland's media landscape. This rich history gives WMAR-TV a distinctive place in the history of American broadcast television.
WMAR is ranked 7,425 among other media sources and has an average of 796,868 monthly visits according to Similar Web.
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WMAR 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 Fair, and additional analytical insights are available in the other tabs.

  • Bias Rating

    -8% Center

  • Policy Leanings

    0% Center

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    Center

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    -100%
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    100%
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    Fair 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

    36% positive

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