Supreme Court Was Sensibly Conservative on Tribal Rights
View Original Article10% 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.
80% 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 Fair for an average number of total sources.
- Multiple Quotes as Excellent for a very high 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: 25% Poor (Grade E) Multiple Sources: 50% Fair (Grade C) Multiple Quotes: 100% Excellent (Grade A) 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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Politician Portrayal Analysis:
This article includes the following Politician Portrayal sentiments, providing an average sentiment of 80% Negative and bias score of N/A:
1 negative sentiment for Keith Ellison
1 negative sentiment for Ilhan Omar
"Rep. Ilhan Omar, said following the findings that they were "shocking, but sadly, not surprising.""For years, we have been offered a false choice between public safety and accountability."
This is a negative sentiment.
"Miesota Attorney General Keith Ellison added that the consent decree will create "meaningful, lasting reform.""We can fix this and I'm looking forward to fixing this," he said."
This is a negative sentiment.
"nn"Every Minnesotan deserves to be safe and protected by law enforcement in their community," said Sen. Tina Smith."
This is a positive sentiment.
Policies:
Affirmative ActionAbortion
Politicians:
Tina SmithKeith Ellison
Ilhan Omar
Sentiments
-18% "The court's conservative judicial revolution is ongoing, and I expect to see more radical decisions on issues like abortion, affirmative action, the environment and ..."
-22% nnMinnesota Attorney General Keith Ellison added that the consent decree will create "meaningful, lasting reform."nn"We can fix this and I'm looking forward to fixing ..."
-30% Rep. Ilhan Omar, said following the findings that they were "shocking, but sadly, not surprising."nn"For years, we have been offered a false choice between ..."
*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:
41% : The court's conservative judicial revolution is ongoing, and I expect to see more radical decisions on issues like abortion, affirmative action, the environment and church and state.*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.