'A Flannel Shirt Doesn't Mean You Blend In': Why These Rural Voters Are Over Tim Walz
- Bias Rating
50% Medium Conservative
- Reliability
90% ReliableExcellent
- Policy Leaning
28% Somewhat Conservative
- Politician Portrayal
-6% 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
12% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
51% : He said he cared about health care and childcare and economic opportunity and gun control -- and, most of all when he signed up to run, "to do what I can as a candidate to beat Trump.48% : (The Republican insult "Tampon Tim" comes from a bill requiring public schools to provide their students access to menstrual products).
46% : Ackland and her husband, Mark, told me they knew some Republicans they doubted would vote for Trump this year -- a cousin, a Republican who had written a letter to the editor they'd read.
41% : Today, he said, "I don't think Trump has ever been stronger in rural areas."
37% : And in a yellow safety vest by the concession stand, there was Mike Murtaugh, a former mayor of Albert Lea who, like a large number of people here voted for Barack Obama -- and for Walz -- before voting twice for Trump.
31% : It's hard to get more rural or conservative than Peterson, who didn't support Trump's impeachment and who voted in favor of gun rights and anti-abortion legislation.
31% : "Trump, he said, "is not pulling punches and he's not being politically correct and that's appealing to some people.
17% : Before flipping to Trump in 2016, Freeborn County, on Minnesota's border with Iowa, had gone twice for Obama.
*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.