At Jim Jordan's first 'weaponization of government' hearing, Democrats say that's exactly what Republicans are doing

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Published Feb 10, 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.
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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.

-24% Somewhat 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.

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.

10% 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.

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.

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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.


Policy Leaning Analysis

This article includes the following sentiments, providing an average bias score of 10% Conservative:

  • 1 negative sentiment for Black Lives Matter Protest
  • 1 negative sentiment for Gun Control


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of -96% Liberal:

3 negative sentiments for Jamie Raskin
3 negative sentiments for Jim Jordan
1 negative sentiment and 1 positive sentiment for Stacey Plaskett
3 negative sentiments and 1 positive sentiment for Donald Trump
1 negative sentiment for Tulsi Gabbard
2 negative sentiments for Chuck Grassley
2 negative sentiments for Ron Johnson


Policies:

Gun Control
Black Lives Matter Protest

Politicians:

Jamie Raskin
Jim Jordan
Stacey Plaskett
Donald Trump
Tulsi Gabbard
Chuck Grassley
Ron Johnson

Sentiments

  •   Conservative
-8% "The public wonders whether members who refuse to comply with congressional subpoenas themselves should be issuing congressional subpoenas to other people," Raskin added."
-8% "nn"Protecting the First Amendment shouldn't be partisan," Jordan declared, as he urged Democrats to cooperate in his probe."
-10% "Protecting the First Amendment shouldn't be partisan, Jordan declared, as he urged Democrats to cooperate in his probe.""
-12% "I'm deeply concerned about the use of this select subcommittee as a place to settle scores, showcase conspiracy theories, and advance an extreme agenda ..."
-12% nnDemocratic U.S. Rep. Jamie Raskin, of Maryland, declared the point of the committee was for Republicans to weaponize the government themselves, claiming its name ..."
-16% WASHINGTON, D. C. - U.S. Rep. Jim Jordan, a Champaign County Republican, opened the first hearing of a new Select Subcommittee on the Weaponization ..."
-22% "By establishing a select subcommittee on weaponization, they are telling us that Donald Trump's followers, who obviously control the subcommittee, will continue weaponizing any ..."
-36% He said the Trump administration weaponized the government by trying to cover up its own wrongdoing by firing inspectors general at federal agencies."
-38% nnFormer Democratic U.S. Rep. Tulsi Gabbard, of Hawaii, cited a long list of consequential government lies, such as the presence of weapons of mass ..."
-56% "Johnson contrasted the fervor with which Department of Justice pursued Jan. 6 rioters with its lack of interest in prosecuting Black Lives Matter rioters ..."

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
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-100%
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Contributing sentiments towards policy:

45% : ""Protecting the First Amendment shouldn't be partisan," Jordan declared, as he urged Democrats to cooperate in his probe.
22% :Johnson contrasted the "fervor" with which Department of Justice pursued Jan. 6 rioters with its lack of interest in prosecuting Black Lives Matter rioters the previous summer.

*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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