Three reasons Trump triumphed
- Bias Rating
50% Medium Conservative
- Reliability
40% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-39% 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
7% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
60% : Trump also greatly improved his standing with black voters, and especially in key swing states.48% : In Wisconsin, for instance, NBC exit polls show Trump doubled his share of the black vote, winning 20% of that contingent, up from 8% in 2020.
41% : She was flummoxed by even the mildest of inquisitions, such as that posed by CBS' Bill Whitaker, who reasonably asked why she flip-flopped on issues she embraced in the 2019 Democrat primary, like Medicare for All and banning fracking.
28% : Trump campaigned for all Americans, instead of the "slicing and dicing" favored by Kamala Harris.
24% : By contrast, Trump campaigned with purpose, promising to reduce inflation, roll back harmful regulations, deport criminals in the U.S. illegally, dump unpopular climate mandates and lower taxes.
23% : Harris warned that Trump was a threat to democracy, but voters saw his opponents weaponize the Department of Justice and try to lock up their political adversary, stiff the 14 million Democrats who voted for Joe Biden to be their candidate in the primaries, propose to "reform" the Supreme Court and do away with the filibuster, and persuade social media companies to censor their opposition.
12% : A telling Gallup poll conducted just weeks before the election showed 52% of the country felt they were worse off under the Biden-Harris administration than they were under Trump; only 39% indicated they were better off.
*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.