Analysis demolishes Trump's 'mandate' claims as poll numbers collapse
- Bias Rating
10% Center
- Reliability
45% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-45% 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
39% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
57% : Trump and many of his allies continue to use words like "historic" and "landslide" to describe his narrow victory over then-Vice President Kamala Harris in the United States' 2024 election.50% : " "In fact, Trump won less than half of the popular vote -- which, given the turnout, amounts to less than one-third of registered voters," Mechanic notes.
41% : But Trump won the popular vote by only 1.5 percent compared to actual landslides like President Ronald Reagan's 18 percent victory over Democratic Walter Mondale in 1984, when The Gipper picked up a whopping 525 electoral votes -- or 1932, when Democratic then-New York Gov. Franklin Delano Roosevelt ousted incumbent President Herbert Hoover by 18 percent.
33% : And this polling came before Trump unleashed Musk and his post-pubescent underlings on federal agencies like a swarm of diseased locusts.
27% : " READ MORE: DC insider explains why Trump could hit an economic slump -- and soon
25% : " Terry Royed, a political science professor at the University of Alabama, doesn't consider Trump's 2024 win a "mandate" either.
24% : In a biting article published on March 5, Mother Jones' Michael Mechanic tears apart the exaggerated claims that Trump continues to make about the size of his 2024 victory.
*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.