There's no love lost between a freshman Democratic congresswoman and her repeat GOP rival in a swing Washington House district - Washington Examiner
- Bias Rating
50% Medium Conservative
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-32% 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
7% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
68% : "Like the 2022 race, Kent has the endorsement of Trump this time.43% : Even while Biden easily won the state of Washington over Trump, about 58%-39%.
39% : At the same time in the 3rd Congressional District, Trump would have beaten Biden under the newly redrawn lines 50.8% to 46.6%.
37% : (Trump did end up endorsing Kent in late July.)
34% : However, while "that district will likely vote for Trump again, it's not a Trumpy district.
32% : Herrera Beutler, in January 2021, voted to impeach Trump in the wake of the Jan. 6 Capitol riots.
32% : Oh, and Trump hasn't endorsed him this time.
19% : He's too weird for Trump," she wrote on X on June 6.
17% : (Eighteen House seats are held by Republicans in districts that would have backed Biden, who bowed out of his reelection bid over the summer so Vice President Kamala Harris could be the Democratic nominee against Trump.)
17% : In late July this year, Kent suggested during a virtual town hall that Secret Service agents may have been "in on" the recent assassination attempt against Trump in Butler, Pennsylvania.
16% : The congresswoman even went further than most after Biden's desultory June 27 debate performance, saying he would lose to Trump in November.
*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.