ForbesHyperscale Data Centers May Fundamentally Alter Global Power Demand
- Bias Rating
-10% Center
- Reliability
50% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
13% 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:
60% : Many have inked long-term power purchase agreements with utilities and suppliers, with contracts underpinned by renewable energy sources such as wind and solar power.32% : The domino effect may be a blow for carbon emissions reduction as a likely surge in demand may require additional gas-fired power generation capacity to be built.
*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.