GOP Rep. Bob Gibbs to retire amid Ohio primary battle
View Original Article-6% 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.
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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.
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.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
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.
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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 Max Miller
5 negative sentiments and 1 positive sentiment for Bob Gibbs
1 positive sentiment for Fred Upton
1 negative sentiment for Bill Huizenga
"Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
This is a positive sentiment.
"Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
This is a positive sentiment.
"Trump has backed Miller even though Gibbs has been a loyal supporter of the former president."
This is a positive sentiment.
"He also faced an uphill battle in the Republican primary, contesting Max Miller, a well-funded former aide to President Trump."
This is a negative sentiment.
"He also faced an uphill battle in the Republican primary, contesting Max Miller, a well-funded former aide to President Trump."
This is a negative sentiment.
"Gibbs isn't the only Republican to retire amid challenges faced in redistricting."
This is a negative sentiment.
"Rep. Fred Upton (R-Mich.) aounced his retirement on Tuesday."
This is a positive sentiment.
"Just 12 percent of Gibbs's old district remained in the new one, according to a report by Cleveland.com.nn"
This is a negative sentiment.
"He would have faced another incumbent Republican Rep. Bill Huizenga (Mich.) in the primary because of a redrawn map in Michigan."
This is a negative sentiment.
"Rep. Bob Gibbs (R-Ohio), elected in 2010, announced his retirement Wednesday morning, citing redistricting as his reasoning behind not running for reelection."
This is a negative sentiment.
""It is irresponsible to effectively confirm the congressional map for this election cycle seven days before voting begins, especially in the Seventh Congressional District where almost 90 percent of the electorate is new and nearly two thirds is an area primarily from another district, foreign to any expectations or connections to the current Seventh District," Gibbs wrote in a statement."
This is a negative sentiment.
"When Gibbs was first elected to the House in 2010, he represented the 18th district in Ohio, but then after redistricting in 2012, he ran in the newly redrawn 7th district, which he has represented since.nn"
This is a negative sentiment.
Politicians:
Donald TrumpMax 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."
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.
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Contributing sentiments towards policy:
% :*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.