Yellow's Downfall Throws $700 Million US Covid Loan in Jeopardy
View Original Article-56% Very 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.
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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.
56% 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 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.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 100% Excellent (Grade A) Multiple Sources: 100% Excellent (Grade A) Multiple Quotes: 50% Fair (Grade C) 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 56% Negative and bias score of -56% Liberal:
1 negative sentiment for Steven Mnuchin
"An investigation released last year found that top aides to former President Donald Trump pressured Treasury and Defense Department officials to approve the pandemic relief loan for Yellow even though it was deemed ineligible."
This is a negative sentiment.
"Then-Treasury Secretary Steven Mnuchin told lawmakers in December 2020 that the government had "made a significant profit" on the deal by then."
This is a negative sentiment.
"Now, it's unclear how much the Treasury Department, which issued the loan in 2020 under the Trump administration, can expect to get back."
This is a negative sentiment.
Politicians:
Donald TrumpSteven Mnuchin
Sentiments
-16% Then-Treasury Secretary Steven Mnuchin told lawmakers in December 2020 that the government had "made a significant profit" on the deal by then."
-34% An investigation released last year found that top aides to former President Donald Trump pressured Treasury and Defense Department officials to approve the pandemic ..."
-100% """
*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:
% :*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.