Opinion | In Virginia, climate progress and preservation can work together

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Published Jul 02, 2021
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
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Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

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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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

-20% Somewhat Liberal

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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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

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Overall Sentiment

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Opposite Viewpoint
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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.

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.


Policy Leaning Analysis

This article includes the following sentiments, providing an average bias score of -20% Liberal:

  • 1 positive sentiment for Clean Energy


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:

1 positive sentiment for Greg Abbott
3 negative sentiments and 1 positive sentiment for Donald Trump


Policies:

Clean Energy

Politicians:

Greg Abbott
Donald Trump

Sentiments

  •   Liberal
20% "Though preservationists warn of the visual and archaeological impacts that these facilities can have on the places that connect us to our past as ..."
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.

Extremely
Liberal

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Moderately
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Center

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Moderately
Conservative

Very
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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.

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