McCarthy Gets Debt Ceiling Without Fully Funding Liposuction For Overweight Raccoons

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Published May 31, 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.
55% 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.

26% Moderately Conservative

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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.

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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.

64% Negative

Overall Sentiment

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Topic

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 Excellent for a very high 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.


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 64% Negative and bias score of 26% Conservative:

2 negative sentiments and 1 positive sentiment for Kevin McCarthy
2 negative sentiments for Hakeem Jeffries
1 negative sentiment for Chuck Schumer


Politicians:

Kevin McCarthy
Hakeem Jeffries
Chuck Schumer

Sentiments

12% t WASHINGTON, DC u2014 In whatu2019s being called a massive win for conservatism, Kevin McCarthy was able to pull off the ..."
-4% Despite the celebration, not everyone was pleased with McCarthyu2019s deal."
-4% u201cAs important as it is to put food on the tables for American citizens, itu2019s equally important to remove some food from our nationu2019s ..."
-22% u201cWe got the deal, but without the $12.2 billion needed for raccoons struggling with their weight,u201d Hakeem Jeffries muttered."
-24% Things in Washington seemed to escalate when Chuck Schumer yelled out a question on The Capitol steps that many are calling out of touch:u00a0 ..."
-32% After seeing debt ceiling details, Political analysts are calling McCarthyu2019s deal the worst backfire for the Republicans since the last time they did something."
-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.

Extremely
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Contributing sentiments towards policy:

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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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