How the January 6 Committee Made the Attack on Pelosi More Likely " American Greatness

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Published Nov 04, 2022
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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.

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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.

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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.

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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.

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 0% Neutral and bias score of 100% Conservative:

14 negative sentiments and 2 positive sentiments for Nancy Pelosi
4 negative sentiments and 1 positive sentiment for Bill Clinton
1 negative sentiment for Donald Trump


Politicians:

Nancy Pelosi
Bill Clinton
Donald Trump

Sentiments

20% Well Mr. Pelosi should have been entitled to privacy and physical safety."
6% Pelosi is the husband of the speaker of the House and he should have been safe in their house in the upscale San Francisco ..."
0% Bill Clinton famously enjoyed the company of women who were not his wife."
-2% Whatever Mr. Pelosi was doing, and whomever he was with on the night of October 28, he wasn't properly protected by security."
-2% But later in the affidavit the FBI claims, The police arrived and knocked on the door, and Pelosi ran over and opened it."
-6% It's not unreasonable to assume that Mr. Pelosi might have been watching this testimony and concluded that the worm could easily turn the other ..."
-10% The answer has more to do with Nancy Pelosi's January 6 committee than you might think."
-10% But Mr. Pelosi was not injured by a mean tweet or misinformation."
-12% The committee's most dramatic testimony came from Cassidy Hutchinson who claimed second-hand knowledge of a confrontation between Trump and the Secret Service agents charged ..."
-100% """

We have listed the top 10 sentiments. More sentiments do exist. Please review the full article for more information.


*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
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

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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