Another budget-breaking rate increase is likely on the way. Greedy AEP must be reined in.
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
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Liberal
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Conservative
-100%
Liberal
100%
Conservative
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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
11% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "States like Colorado, Coecticut and Maine have since enacted their own versions, and California lawmakers are considering a similar bill." | Positive | 4% Conservative |
| "Nationally millions of dollars are fueled from utility customers to anti-environment trade groups that threaten the climate and clean energy development." | Negative | -22% Liberal |
| "Yet even in the aftermath of the biggest public corruption scandal in state history, the commission and Ohio lawmakers have done little to protect consumers, prevent public corruption and fulfill their community-focused missions." | Negative | -32% Liberal |
Bias Meter
Extremely
Liberal
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Center
Somewhat Conservative
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-100%
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100%
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Contributing sentiments towards policy:
52% : States like Colorado, Connecticut and Maine have since enacted their own versions, and California lawmakers are considering a similar bill.39% : Nationally millions of dollars are funneled from utility customers to anti-environment trade groups that threaten the climate and clean energy development.
34% : "Yet even in the aftermath of the biggest public corruption scandal in state history, the commission and Ohio lawmakers have done little to protect consumers, prevent public corruption and fulfill their community-focused missions.
*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.