Opinion | Deep Inside Mountains, Work Is Getting Much More Dangerous

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Published Aug 02, 2023
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.
50% ReliableFair
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.

-14% 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.

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.

-32% Moderately 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.

38% Negative

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 Excellent for a very high number of different sources.
  • Multiple Sources as Excellent for a very high number of total sources.
  • Multiple Quotes as Fair for an average 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 -32% Liberal:

  • 1 positive sentiment and 4 negative sentiments for Non-renewable energy.


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 38% Negative and bias score of 10% Conservative:

2 negative sentiments and 1 positive sentiment for John Robinson


Policies:

Non-renewable energy

Politicians:

John Robinson

Sentiments

  •   Liberal
  •   Conservative
6% Like Mr. Hoskins, Mr. Robinson also needs supplemental oxygen to survive."
2% "Though the town has shrunk to a population of 72, coal miners from across Appalachia -- including Virginia, Kentucky, West Virginia and Tennessee -- ..."
-6% "But with changes in technology and conditions in coal mines in central Appalachia, cases of severe black lung disease are back to the highest ..."
-6% "Because the government's safety standards -- which rely, in part, on coal companies to police themselves -- haven't kept up with the latest working ..."
-8% John Robinson spent over two years tunneling through 3,200 feet of rock using drills and dynamite to reach coal in Dickenson County, Va., a ..."
-12% "John Robinson spent over two years tunneling through 3,200 feet of rock using drills and dynamite to reach coal in Dickenson County, Va., a ..."
-20% "If we continue to rely on coal companies to do their own dust sampling without adequate enforcement, black lung deaths will almost certainly continue ..."
-34% The proposed rule would protect miners only during "typical mining activities," which might not be interpreted to include mine construction, when workers like Mr. ..."

*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:

51% : Though the town has shrunk to a population of 72, coal miners from across Appalachia -- including Virginia, Kentucky, West Virginia and Tennessee -- are now flocking there to seek care at Stone Mountain Health Services, a community health clinic that includes the nation's largest black lung clinic, where I serve as black lung medical director.
47% : But with changes in technology and conditions in coal mines in central Appalachia, cases of severe black lung disease are back to the highest level in decades after the last major study, in 2018.
47% : Because the government's safety standards -- which rely, in part, on coal companies to police themselves -- haven't kept up with the latest working conditions in mines and don't sufficiently limit exposure to the biggest hazard of all: silica.
44% : John Robinson spent over two years tunneling through 3,200 feet of rock using drills and dynamite to reach coal in Dickenson County, Va., a few miles from the border with Kentucky.
40% : If we continue to rely on coal companies to do their own dust sampling without adequate enforcement, black lung deaths will almost certainly continue to climb.

*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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