GOP Rep. Bob Gibbs to retire amid Ohio primary battle

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Published Apr 07, 2022
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.

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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.

6% 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 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 6% Negative and bias score of -6% Liberal:

1 negative sentiment and 1 positive sentiment for Donald Trump
1 negative sentiment and 1 positive sentiment for Max Miller
5 negative sentiments and 1 positive sentiment for Bob Gibbs
1 positive sentiment for Fred Upton
1 negative sentiment for Bill Huizenga


Politicians:

Donald Trump
Max Miller
Bob Gibbs
Fred Upton
Bill Huizenga

Sentiments

60% Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
60% Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
60% Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
12% Rep. Fred Upton (R-Mich.) announced his retirement on Tuesday."
-2% When Gibbs was first elected to the House in 2010, he represented the 18th district in Ohio, but then after redistricting in 2012, he ..."
-6% "It is irresponsible to effectively confirm the congressional map for this election cycle seven days before voting begins, especially in the Seventh Congressional District ..."
-10% Rep. Bob Gibbs (R-Ohio), elected in 2010, announced his retirement Wednesday morning, citing redistricting as his reasoning behind not running for reelection."
-10% He would have faced another incumbent Republican Rep. Bill Huizenga (Mich.) in the primary because of a redrawn map in Michigan."
-12% Just 12 percent of Gibbs's old district remained in the new one, according to a report by Cleveland.com.nn"
-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
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-100%
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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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