Warren argues Federal Reserve interest rate hikes should stop

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Published Mar 19, 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.

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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.

82% Negative

Overall Sentiment

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Opposite Viewpoint
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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 Good for a higher 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 82% Negative and bias score of 10% Conservative:

4 negative sentiments for Elizabeth Warren
3 negative sentiments for Jerome Powell


Politicians:

Elizabeth Warren
Jerome Powell

Sentiments

-8% Warren said Sunday that Powell is "failing" in his responsibilities "both as the oversight manager of these big banks... and also what he's doing ..."
-8% Warren said Sunday that Powell is "failing" in his responsibilities "both as the oversight manager of these big banks... and also what he's doing ..."
-14% "I do not think he should raise rates," Warren said of Federal Reserve Chair Jerome Powell on NBC's "Meet the Press.""
-14% "I do not think he should raise rates," Warren said of Federal Reserve Chair Jerome Powell on NBC's "Meet the Press.""
-18% And what chair Powell is trying to do - and he has said fairly explicitly is that they are trying to, in effect, slow ..."
-18% And what chair Powell is trying to do - and he has said fairly explicitly is that they are trying to, in effect, slow ..."
-20% Sen. Elizabeth Warren (D-Mass.) on Sunday argued that the Federal Reserve should stop hiking interest rates in an effort to control high inflation."
-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:

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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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