Roe Is Done -- Here Are The Next Supreme Court Cases To Watch : The NPR Politics Podcast
View Original Article-2% 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.
-6% 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.
14% Negative
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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 -6% Liberal:
- 1 positive sentiment for Affirmative Action
"The high court, which now includes Biden nominee Ketanji Brown Jackson, will hear cases that will determine the future of affirmative action, voting rights and election integrity."
Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 14% Negative and bias score of 10% Conservative:
"That will impact far fewer of people compared to the number convicted on state charges, but the White House says the administration hopes local leaders will follow Biden's example."
This is a negative sentiment.
"The high court, which now includes Biden nominee Ketanji Brown Jackson, will hear cases that will determine the future of affirmative action, voting rights and election integrity."
This is a negative sentiment.
Policies:
Affirmative ActionPoliticians:
Joe BidenSentiments
- Liberal
-2% The high court, which now includes Biden nominee Ketanji Brown Jackson, will hear cases that will determine the future of affirmative action, voting rights ..."
-12% That will impact far fewer of people compared to the number convicted on state charges, but the White House says the administration hopes local ..."
*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% : The high court, which now includes Biden nominee Ketanji Brown Jackson, will hear cases that will determine the future of affirmative action, voting rights and election integrity.*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.