Trump's win is so much worse this time. Americans knew what they were voting for | Emma Brockes
- Bias Rating
48% Medium Conservative
- Reliability
50% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-21% 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
-6% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
58% : As they got up and blamelessly ate their breakfast, Trump was making his victory speech in Florida.54% : People had more money during his time in office and whether or not Trump had anything to do with it, Americans had voted for him on the strength of the association.
51% : Men, who support Trump in larger numbers than women, can sometimes be relied upon to skip voting.
48% : At the end of his victory speech, Trump said that this moment might turn out to be one of great historical importance, a piece of flattery thrown in the direction of his supporters, but that remains deeply - and terrifyingly - true for us all.
46% : Latino men flocked to Trump at a greater rate than in previous elections - according to NBC exit polls, Trump led Harris in that demographic 54%-44%.
40% : In the past two weeks of the election Trump had seemed, even by his standards, to have gone completely off the beam.
40% : Meanwhile, 59% of white men voted for Trump, and 52% of white women.
33% : Trump was absurd, but in novel ways that turned the heads of people who thought reality TV was real.
33% : And, of course, this time, lining up behind Trump comes a caravan of the worst people in the world.
*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.