SyracuseHochul's energy team opens the door to a long-dismissed option: new nukes
- Bias Rating
4% Center
- Reliability
60% ReliableFair
- Policy Leaning
20% Somewhat Conservative
- Politician Portrayal
-2% Negative
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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
29% 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%
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100%
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Contributing sentiments towards policy:
61% : The need is so great that renewable energy sources such as wind and solar are unlikely to fill it, officials said.57% : Example No. 1 is Micron Technology.
57% : It's difficult to supply that level of reliability with renewable energy sources alone, said Varum Sivaram, a climate and energy fellow at the Council on Foreign Relations.
50% : Kicking off the conference, Hochul said nuclear could be part of an "all-of-the-above'' strategy to beef up New York's electric grid while also complying with legislative mandates to eliminate carbon emissions.
*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.