Former political foes locked in tight House race - Washington Examiner
- Bias Rating
38% Somewhat Conservative
- Reliability
65% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
3% Positive
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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
36% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
49% : But having twice voted against Trump, Thompson said he plans to do so a third time, adding that he would back the Democratic congressional candidate once he brushes up on Nov. 5 ballot offerings.49% : "Yet another coffeehouse patron, Megan Higgins, 34, who said she works in the natural gas industry, plans to back Trump for president and Chavez-DeRemer in the House race.
43% : Eight districts went the other way in that they would have backed Trump but also elected a Democratic House member.
36% : She's trying to position herself as workaday, constituent services-oriented without getting caught up with the craziness of D.C."Trump continues to insist that he did not lose the election in 2020 -- stoking fear that he may again encourage his supporters to block certification of the election next January if he loses for a second time.
29% : "Trump never should have been anywhere near the White House," Thompson said.
25% : In 2020, Biden easily beat Trump in Oregon, about 56% to 40%.
22% : In the final weeks of the campaign for Oregon's 5 Congressional District, Democrats and allied outside liberal groups are trying to tie Chavez-DeRemer to Trump and, sometimes, travel companion Laura Loomer, a conspiracy theorist who has posted racist X remarks about Vice President Kamala Harris and is a longtime 9/11 truther.
*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.