US EPA Article Rating

Biden-Harris Administration Announces More Than $300 Million in Brownfield Grants Through Investing in America Agenda to Rehabilitate and Revitalize Communities | US EPA

May 20, 2024 View Original Article
  • Bias Rating

    -24% Somewhat Liberal

  • Reliability

    55% ReliableFair

  • Policy Leaning

    -32% Somewhat Liberal

  • Politician Portrayal

    21% Positive

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. 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.

Sentiments

Overall Sentiment

63% Positive

  •   Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

70% : Thanks to the President's historic investments in America through the Bipartisan Infrastructure Law, EPA has now increased that yearly investment nearly 400 percent.
57% : EPA is also announcing $68 million in supplemental funding for 31 existing, high-performing Brownfields RLF Grant Programs, as well as the selection of Grow America, an RLF Technical Assistance provider, for an estimated $3 million in grant funding.
51% : Funded by $1.5 billion investment into Brownfields sites from President Biden's Bipartisan Infrastructure Law to address legacy pollution, advance environmental justice and create healthier communitiesWASHINGTON - Today, May 20, the U.S. Environmental Protection Agency is announcing over $300 million in grant awards from President Biden's Investing in America agenda to help States, Tribal Nations, local governments and non-profit organizations assess and clean up polluted brownfield sites across the country.
50% : Selected grants will be awarded to States, Tribal Nations, local governments and non-profit organizations to address the health, economic, social and environmental challenges caused by brownfields.

*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.

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