Why did Trump win, and what comes next? Our panel reacts | Panelists
- Bias Rating
50% Medium Conservative
- Reliability
65% ReliableFair
- Policy Leaning
30% Somewhat Conservative
- Politician Portrayal
-31% 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
-4% 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:
59% : So, it will be Trump, after all.58% : Trump is back and he's back with a vengeance.
54% : Trump gained or held steady with every demographic, even left-trending groups like white college-educated voters and women.
48% : Trump and the Republicans have swept the US election.
29% : She clobbered Trump in debate but bobbed and weaved when confronted by interviewers.
25% : Trump was less coherent than in 2016, didn't deliver the same potent appeals to workers, and embraced unpopular billionaires like Elon Musk.
*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.