Biden-Harris Administration Announces Over $50 Million from EPA's Clean School Bus Program for Michigan School Districts | US EPA

Oct 27, 2022 View Original Article
  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -46% Medium Liberal

  • Politician Portrayal

    80% 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

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Bias Meter

Contributing sentiments towards policy:

61% : EPA is also designing the next rounds of program funding to launch in the coming months, which will include an ambitious grant competition.
60% : EPA is also partnering with the U.S. Department of Energy and Department of Transportation to provide school districts with robust technical assistance to ensure effective implementation.
58% : EPA will distribute awards to school districts in all 50 states, Washington D.C., along with several federally recognized Tribes and U.S. territories.
56% : In May, EPA announced the availability of $500 million for its Clean School Bus Program.
52% : Given overwhelming demand from school districts across the country, including in low-income communities, Tribal nations, and territories, EPA nearly doubled the amount of funding that will be awarded to $965 million.
49% : Through future rounds of funding, EPA will make available another $1 billion for clean school buses in Fiscal Year 2023.
46% :"By replacing older, heavily polluting buses, EPA is making clean school buses the American standard," said EPA Regional Administrator Debra Shore.
43% : EPA encourages school districts not selected in the first round of rebates - and those that did not apply this funding cycle - to participate in future rounds.

*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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