
Federal lands hold the key to unleashing a new American energy...
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
-10% Center
- Politician Portrayal
44% Positive
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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
40% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
91% : Trump's opportunity centers on his excellent picks for three key federal agencies: Doug Burgum at the Interior Department, Lee Zeldin at the Environmental Protection Agency and Chris Wright at the Energy Department.84% : Donald Trump can prove that the answer is still yes -- by revolutionizing how America builds energy infrastructure.
67% : Trump's Cabinet secretaries at Interior, EPA and Energy could work in concert to designate abundance zones across the 640 million acres owned by the federal government.
62% : This three-pronged approach would open up huge swaths of land for energy infrastructure.
55% : At EPA, Zeldin could establish standardized environmental criteria for all projects within the zones, eliminating the need for project-by-project reviews and speeding up construction dramatically.
53% : The solution is to set aside designated zones on federal lands where innovators could quickly deploy energy infrastructure without fear of NEPA permitting delays or lawsuits.
44% : By creating American Abundance Zones, President Trump can not only usher in a brighter economic future, but restore Americans' belief that such a future is possible -- and worth pursuing, nationwide.
*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.