Washington Post Article RatingOpinion | Renewable energy credits help in many ways
- Bias Rating
-42% Medium Liberal
- Reliability
20% ReliablePoor
- Policy Leaning
-42% Medium Liberal
- Politician Portrayal
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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
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- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
85% : Though it is true that a "credit purchaser" for wind or solar power doesn't necessarily have that specific type of renewable energy running to his or her home or business (as I do for my Arlington home), these credit purchases accelerate a wide set of green electrical generation, which, in 2023, produces more than coal or nuclear energy, an amazing achievement.57% : I don't disagree with the article's point that there is room to make renewable energy credits more impactful, but to imply they have not been effective is just not the case.
*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.