Washington Post Article RatingOpinion | In Virginia, climate progress and preservation can work together
- Bias Rating
-20% Somewhat Liberal
- Reliability
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- Policy Leaning
-20% Somewhat 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
N/A
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
| "Though preservationists warn of the visual and archaeological impacts that these facilities can have on the places that coect us to our past as Virginians and as Americans, proponents of renewable energy welcome the climate-friendly and sustainability-focused impacts that these facilities can have in improving our future as global citizens." | Positive | 20% Conservative |
| "Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump." | Positive | 8% Conservative |
| "Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump." | Positive | 8% Conservative |
| "It's sick in elections, and it's sick on the border, Trump said, offering a cocktail of his two favorite topics." | Negative | -4% Liberal |
| "On Wednesday, former president Donald Trump went to the southern border to meet with local officials to discuss immigration." | Negative | -18% Liberal |
| "Down to the navy blue suit and red tie, Trump conducted himself as if he were still in the White House, a president being briefed on issues of national security." | Negative | -28% Liberal |
Bias Meter
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Contributing sentiments towards policy:
60% : Though preservationists warn of the visual and archaeological impacts that these facilities can have on the places that connect us to our past as Virginians and as Americans, proponents of renewable energy welcome the climate-friendly and sustainability-focused impacts that these facilities can have in improving our future as global citizens.*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.