Michigan to get 138 new electric school buses with $50M in federal cash
- Bias Rating
-16% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-2% Center
- Politician Portrayal
56% Positive
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-100%
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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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"U.S. Environmental Protection Agency officials chose school districts serving low-income, rural, or Tribal students for 99" | Positive | 2% Conservative |
"Vice President Kamala Harris and EPA Administrator Michael Regan aounced the first round of federal funding for the clean school bus program in Seattle on Wednesday, Oct. 26, 2022." | Positive | 28% Conservative |
"Vice President Kamala Harris and EPA Administrator Michael Regan aounced the first round of federal funding for the clean school bus program in Seattle on Wednesday, Oct. 26, 2022." | Positive | 28% Conservative |
"Harris said as many as 25 million schoolchildren ride school buses each day in the largest form of mass transit in our country." | Positive | 18% Conservative |
"Money for the new purchases is available under the federal Clean School Bus Program, which includes $5 billion from the bipartisan infrastructure law President Joe Biden signed last year." | Positive | 14% Conservative |
"Regan said this national clean bus program starts the work to build a healthier future, reduce climate pollution, and ensure the clean, breathable air that all our children deserve.Only about 1" | Positive | 2% Conservative |
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Contributing sentiments towards policy:
51% : U.S. Environmental Protection Agency officials chose school districts serving low-income, rural, or Tribal students for 99% of the selected projects nationwide, the agency said.*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.