Biden-Harris Administration Announces $8.8 Million from EPA's Clean School Bus Program for Four Connecticut School Districts | US EPA
- Bias Rating
-12% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-54% Medium Liberal
- Politician Portrayal
54% Positive
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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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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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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% : "With the new Clean School Bus program, EPA is delivering significant funding to Connecticut school districts for clean electric school buses, with a particular focus on reducing air pollution in urban Hartford and other historically-disadvantaged areas with priority needs," said EPA New England Regional Administrator David W. Cash.
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.
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.