Opinion | Trump's sexism backfired spectacularly at the debate
- Bias Rating
10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-34% 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
5% Positive
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- Conservative
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Politician Portrayal Analysis
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Contributing sentiments towards policy:
63% : That moment when Trump told Harris he was "talking now" reminded a lot of us of what it's still like to be a woman in the world.49% : Trump quipped with a little smirk, as if to make it completely obvious he was being cute, performing a hostile homage.
48% : That line, coming from Trump, somehow served as a brutal reminder of what his administration took from our gender -- the right to bodily autonomy.
41% : And by not overly focusing on her own identity, she's been able to allow Trump to bait himself into obsessing about it.
40% : Trump tried to make the line his, but he flailed and failed, and that quickly became a theme of the debate.
36% : She was able to bait Trump by mentioning the crowd size at his rallies.
35% : I'd say this was one of the very few times being a powerful, white man did not benefit Trump.
31% : And Trump is not the only one to delight in this sexist commentary.
29% : Most of the time, that misogyny and sexism is focused on Harris, like when Trump posted a crude sexist meme about her on his social media platform.
21% : "Quiet, please," Trump said at another point during the debate, as Harris tried to interject with an answer.
5% : You could say his running mate, JD Vance, sometimes almost makes Trump look like a feminist: Whereas Trump has flip-flopped on the matter, Vance vocally supports a national abortion ban, as he told a podcast in 2022: "I certainly would like abortion to be illegal nationally."
*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.