ForbesAlphabet's Clean Energy Moonshot: Why It Depends On AI
- Bias Rating
- Reliability
80% ReliableGood
- Policy Leaning
N/A
- 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
11% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
66% : The world's grid needs this unprecedented initiative to generate a unified view, accelerate the onboarding of renewables and holistically plan for an evolution toward energy sustainability.45% : Mostly assembled decades ago in a patchwork, ad hoc manner, it's incapable of incorporating a quickly-growing range of energy sources such as wind and solar.
39% : Even as the energy sector hurtles toward an inevitable -- and much-needed -- shift from fossil fuels toward clean energy, it lacks the infrastructure to support this change.
*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.
