ForbesAI And The Energy Equation
- Bias Rating
- Reliability
15% ReliableLimited
- Policy Leaning
2% Center
- 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
16% 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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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
53% : Another overarching strategy (I don't think Gadepally talked about this specifically, but it's been on my mind) is to ramp up safe nuclear energy production.52% : One of the biggest examples is locating the energy sources with the data centers on a particular piece of land, so that you're not losing energy through transmission.
52% : The U.S. is looking, for example, at China's successful use of small nuclear facilities to generate electricity without fossil fuel combustion.
*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.
