Opinion | How to Turn Climate Into a Working-Class Issue Under Trump
- Bias Rating
-12% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
7% 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
1% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
59% : States, cities and towns can get the ball rolling.57% : Tribe-owned companies are developing renewable energy to cut bills and support community development.
55% : Cities and states can also learn from Minnesota's new transportation policies.
50% : Whether or not he kills the law, he is committed to slowing America's transition from fossil fuels to clean energy -- and few Americans seem concerned.
49% : And it puts the burden of transforming sprawling energy infrastructures onto companies' balance sheets and consumers' bank accounts.
43% : To cut carbon pollution at the necessary speed and scale, climate scientists are calling for comprehensive economic change.
35% : Cities and states can also invest in mixed-income, union-built housing -- especially near mass transit to reduce car commutes, and away from flood and wildfire risk zones.
*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.