Trump loyalist who lost Georgia governor primary with just 3.4% of the vote is refusing to admit defeat
- Bias Rating
-34% Moderately Liberal
- Reliability
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- Policy Leaning
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- Politician Portrayal
34% Negative
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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.
Sentiments
N/A
Sentence | Sentiment | Bias |
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"She received significantly fewer votes than David Perdue, who had Trump's formal endorsement, and incumbent Gov. Brian Kemp, who won by 73.7" | Positive | 16% Conservative |
"She received significantly fewer votes than David Perdue, who had Trump's formal endorsement, and incumbent Gov. Brian Kemp, who won by 73.7" | Positive | 16% Conservative |
"She received significantly fewer votes than David Perdue, who had Trump's formal endorsement, and incumbent Gov. Brian Kemp, who won by 73.7" | Positive | 16% Conservative |
"Kandiss Taylor, a strong supporter of former President Donald Trump, came third in the race." | Positive | 10% Conservative |
"It is my opinion that our elections in Georgia have become a travesty spearheaded by the corrupt, organized, willful assault that Governor Brian Kemp, Secretary of State Brad Raffensperger, Attorney General Chris Carr, and gubernatorial candidate Stacey Abrams have inflicted on our election process, the press release continued." | Negative | -16% Liberal |
"Her approach contrasts with that of Perdue, who got significantly more votes than Taylor with 21.8" | Negative | -18% Liberal |
"Her approach contrasts with that of Perdue, who got significantly more votes than Taylor with 21.8" | Negative | -18% Liberal |
"As Insider's Tom Porter wrote, a significant number of Trump endorsees are not following his example in refusing to accept defeat, even when he explicitly urges them to." | Negative | -26% Liberal |
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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.