Rural and suburban swing counties swung to the right - Washington Examiner
- Bias Rating
18% Somewhat Conservative
- Reliability
10% ReliablePoor
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
19% 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
25% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
66% : Saginaw County, Michigan -- a hub for the global automotive industry -- flipped red for Trump with 51% of the vote.64% : In 520 suburban counties, Trump saw an average increase of 4.4 points, and in 99 urban counties, Trump saw a 5.8-point bump.
63% : Of the 18 counties the Washington Examiner had listed as swing counties, Trump triumphed in 12 of them.
58% : Harris won the county with 50.8% of the vote, with Trump trailing behind at 48%.
57% : But Trump also saw a surge in support from black voters, gaining 2.7 points in black majority counties.
56% : In 2016, Trump won the county, but only with 47.6% of the vote.
54% : Meanwhile, Trump gained more voters in rural regions.
53% : Meanwhile, Biden won the county with 53% of the vote, with Trump at 46%.
52% : Trump saw a 9.1-point increase in Motor City voters.
47% : So far, Trump has captured 51.8% of voters, and Harris has captured 47.2%.
42% : However, Trump sailed through, bringing along with him Rep. Dave Schweikert (R-AZ), who won his bid for reelection in his district which encompasses Maricopa County.
42% : But competitive counties that just consist of the suburbs also flipped for Trump.
22% : While Trump lost to Vice President Kamala Harris in many of the counties home to city and suburban voters, he did so by much smaller margins compared to the 2020 presidential race.
*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.