The one reason Trump won that Democrats cannot admit
- Bias Rating
50% Medium Conservative
- Reliability
45% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-15% 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
-3% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
79% : Finally, Trump is a patriot.71% : Finally, Trump has an excellent sense of humor, something his fans enjoy, the media never displayed and the left never appreciated.
50% : (Donald Trump's free-flowing three-hour conversation with Rogan was watched by 47 million people; as Trump cheekily pointed out in a post offering to help Harris pay off her campaign debts, he got plenty of "Earned Media" which "doesn't cost very much.")Bernie Sanders is rightly blaming his colleagues for forgetting their roots, saying "It should come as no great surprise that a Democratic Party which has abandoned working-class people would find that the working class has abandoned them."
37% : Liberals cannot comprehend that Trump is authentic.
36% : Democrats are so blinded by hatred (there's a reason that Republicans have coined the TDS label) they literally cannot fathom that Trump is personally popular.
32% : It was extremely difficult to square those gestures with the Left's desperate portrayal of Trump as authoritarian and the second coming of Hitler.
30% : These profound mistruths unfairly colored what many thought about Trump.
20% : Polling showed that voters thought Trump meant what he said; that was not true for Kamala Harris.
17% : Democrats accuse Trump of lying about everything, all the time.
*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.