The 'particularly nasty' tactic Trump is using to fish for votes: expert
- Bias Rating
46% Medium Conservative
- Reliability
95% ReliableExcellent
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-28% 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
-11% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
34% : When Trump says that in America's cities, 'you can't walk across the street to get a loaf of bread.32% : And while Vice President Kamala Harris, and her running mate, Minnesota Governor Tim Walz, "are working to attract rural voters and promoting policy initiatives to improve life for rural Americans," Trump and Vance are doing just the opposite.
20% : NYT's Maggie Haberman: Why Trump really criticized Detroit while in Detroit"Given that Republicans have lost the popular vote in seven of the last eight presidential elections, the evidence for this strategy's success is thin at best," Waldman writes.
16% : Trump stands silently for 'God Bless the USA' then trashes Detroit to Detroit Economic ClubThe "Boundary Issues" podcast host notes:Conservatives have long portrayed cities as places of danger and corruption.
9% : In 2016, Ted Cruz accused Trump of having 'New York values' (he didn't say exactly what those values were, but they had to be bad).
*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.