Opinion | In Virginia, climate progress and preservation can work together
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*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.
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*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.
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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Poor for the lower number of different sources.
- Multiple Sources as Poor for the lower number of total sources.
- Multiple Quotes as Poor for the lower number of quotes used in the article.
- Quote Length as Poor for the lower number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
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.
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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of -20% Liberal:
- 1 positive sentiment for Clean Energy
"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."
Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:
3 negative sentiments and 1 positive sentiment for Donald Trump
"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."
This is a negative sentiment.
"On Wednesday, former president Donald Trump went to the southern border to meet with local officials to discuss immigration."
This is a negative sentiment.
"Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump."
This is a positive sentiment.
"Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump."
This is a positive sentiment.
"It's sick in elections, and it's sick on the border," Trump said, offering a cocktail of his two favorite topics."
This is a negative sentiment.
Policies:
Clean EnergyPoliticians:
Greg AbbottDonald Trump
Sentiments
- Liberal
8% Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump."
8% Texas Gov. Greg Abbott (R), always willing to oblige, sat alongside Trump."
-4% It's sick in elections, and it's sick on the border," Trump said, offering a cocktail of his two favorite topics."
-18% On Wednesday, former president Donald Trump went to the southern border to meet with local officials to discuss immigration."
-28% Down to the navy blue suit and red tie, Trump conducted himself as if he were still in the White House, a president being ..."
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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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.