South Carolina budget proposal would include raises for teachers and state workers
View Original Article-10% Center
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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 Fair for an average number of quotes used in the article.
- Quote Length as Excellent for a very high number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 25% Poor (Grade E) Multiple Quotes: 50% Fair (Grade C) Quote Length: 100% Excellent (Grade A)
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 -10% Liberal:
- 2 negative sentiments for Flat Tax Rate
- 1 positive sentiment for Government Regulation
"Homeowners would share in $500 million in property tax relief as the state taps into a surplus created from a sales tax increase in 2006."
"Homeowners would receive $500 million in property tax relief, and $200 million would be used for bridge replacements."
"But Bannister said state agencies made about $4.7 billion in requests."
Policies:
Government RegulationCriminal Justice Reform,Justice system reform
Flat Tax Rate
Sentiments
- Liberal
-6% "Homeowners would receive $500 million in property tax relief, and $200 million would be used for bridge replacements.""
-12% "Homeowners would share in $500 million in property tax relief as the state taps into a surplus created from a sales tax increase in ..."
*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:
52% : But Bannister said state agencies made about $4.7 billion in requests.47% : Homeowners would receive $500 million in property tax relief, and $200 million would be used for bridge replacements.
44% : Homeowners would share in $500 million in property tax relief as the state taps into a surplus created from a sales tax increase in 2006.
*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.