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The Fiscal Times was founded in 2010 by Peter G. Peterson, a businessman and former U.S. Secretary of Commerce, along with his son Michael Peterson. The idea behind the publication was to create a digital news platform focused on covering fiscal, budgetary, and economic issues in the United States. Peterson saw a need for in-depth, accessible reporting on these complex topics. Today, The Fiscal Times is owned by Fiscal Note, a global technology company that acquired the publication in 2018. The Fiscal Times primarily covers news related to the economy, federal and state budgets, taxes, healthcare, and retirement. While their main focus is on fiscal and economic policy, they also report on related political developments and their impact on the U.S. economy. Based in Washington D.C., The Fiscal Times has a team of experienced journalists and contributors who provide analysis and reporting on financial matters affecting both the government and everyday Americans. One interesting fact: Despite its name and focus on fiscal matters, The Fiscal Times has gained recognition for its innovative use of data visualization and interactive tools to explain complex economic concepts. This approach has made the publication a valuable resource not just for policy wonks, but also for readers looking to better understand how national economic policies affect their personal finances.
The Fiscal Times is ranked 49,463 among other media sources and has an average of 25,723 monthly visits according to Similar Web.
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The Fiscal Times has a Bias Score of 14% Somewhat Conservative 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 Conservative

  • Policy Leanings

    22% Somewhat Conservative

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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

    81% negative

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