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Bias Meter

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Bias Meter

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Founded in 1891, The Bond Buyer was established to provide comprehensive news and analysis on the municipal bond market. The idea came from the need to create a specialized publication that could serve the interests of professionals involved in public finance, including investors, bankers, and government officials. Over the years, The Bond Buyer has evolved to include an online platform, bondbuyer.com, to reach a wider audience. Today, it is owned by Arizent, a business information company that focuses on providing insights and data for various industries. Based in the United States, The Bond Buyer covers topics related to municipal finance, including bond issues, market trends, policy developments, and economic analysis. The organization aims to keep its audience informed about the latest happenings in the municipal bond market, offering in-depth reports and expert commentary. With its focus on public finance, The Bond Buyer serves as a key resource for professionals seeking detailed information and analysis. One interesting fact: A unique aspect of The Bond Buyer is its long-standing tradition of hosting conferences and events that bring together industry leaders and experts to discuss important issues in public finance. These events provide valuable networking opportunities and insights, helping to shape the future of the municipal bond market.
Bond Buyer is ranked N/A among other media sources and has an average of 55,721 monthly visits according to Similar Web.
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Bond Buyer 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 Average, and additional analytical insights are available in the other tabs.

  • Bias Rating

    8% Center

  • Policy Leanings

    14% Somewhat Conservative

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    Moderately
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    Somewhat Liberal

    Center

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    -100%
    Liberal

    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

    41% negative

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