Trump's victory is not the end of the world | Aaron Glantz
- Bias Rating
50% Medium Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-25% 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
-15% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
60% : It may seem counter-intuitive, but it's true: diversity, equity and inclusion programs proliferated under Trump.55% : Trump was at odds with these movements, but they still made progress.
50% : But remember: Trump did not build that "big, beautiful wall" along the Mexican border.
48% : The non-binary pronoun "they", rarely used before Trump took office, was named the "word of the year" by Merriam-Webster dictionary in 2019.
40% : Trump won re-election, in part, because large numbers of Black and Latino voters defected from the Democratic party.
38% : We were warned that there would be "no guardrails" if Trump won.
27% : Trump was ordered to pay $83m for sexually assaulting E Jean Carroll, a judgment made possible by a New York law that extended the statute of limitations for sexual assault that passed while he was president.
20% : In the closing days of the campaign we were warned that Trump would be surrounded by sycophants in his second term and that there would be "no guardrails" to restrain his worst instincts.
15% : Trump famously called the climate crisis a "hoax".
9% : It documented how Trump stacked his administration with vulture capitalists, including Wilbur Ross and Steve Mnuchin, who profited off the 2008 housing bust by foreclosing on thousands of American families while reaping hefty government subsidies.
*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.