AI: Revolutionizing American Energy and Industry - News Directory 3
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
70% Medium Right
- Politician Portrayal
N/A
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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
43% Positive
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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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:
62% : They developed an AI algorithm that can predict energy demand and optimize the distribution of renewable energy resources, making the grid more efficient and reliable.61% : This innovation could substantially enhance safety and reduce costly downtime for wind energy operators,a crucial step in advancing America's transition to renewable energy sources.
61% : This innovation could substantially enhance safety and reduce costly downtime for wind energy operators, a crucial step in advancing America's transition to renewable energy sources.
58% : " One team focused on optimizing the transition to renewable energy sources.
*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.
