Mapping the presidential debate: Kansas earns mention as candidates wrestle over American landscape
- Bias Rating
50% Medium Conservative
- Reliability
45% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-30% 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
22% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
65% : During the first third of the debate, Trump proudly described how the Supreme Court, with "genius and heart," had overturned Roe v. Wade.59% : This was the case for many of the instances above when Trump specified a place.
51% : Trump described the votes this way: "Now, Ohio, the vote was somewhat liberal.
44% : Yes, Trump mentioned Kansas.
43% : Nevertheless, Trump continued, describing the 2022 vote in Kansas and another in 2023 in Ohio.
38% : The more specific that Trump got -- mentioning a city or town -- the darker his vision of America became and the more likely he was to drift into misinformation pushed by right-wing media.
36% : Dwelling on that issue seemed politically costly for Trump, but that is what he did.
34% : Let's bullet point a few other examples:It's notable how often these call-outs by Trump to cities or states put him in weak, fringy or embarrassing political positions.
31% : "By describing the Kansas vote, an 18-point win for abortion-rights advocates, as liberal, Trump hinted that he sees something unusual, something slanted about the results.
24% : Similarly, it was Trump, not Harris who brought up Alabama by name.
18% : This might be the only debate showdown between Harris and Trump.
12% : A consensus cringe moment of the debate for Trump was his false claim that Harris supported executing babies.
*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.