
Trump's tariff pause: Letters to the Editor -- April 11, 2025
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
42% Medium Right
- Politician Portrayal
-11% Negative
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Bias Score Analysis
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
29% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
76% : Trump has the ability to make his inner circle very rich by his actions.70% : Our nation is truly lucky to have Trump as our president.
55% : Trump proves again he understands the art of the deal.
53% : One of the key platforms Trump campaigned on in 2024 was increased tariffs.
45% : On Tuesday, the stock market rallied -- until Trump opened his mouth and announced a 100% tariff on China (although who knows how high the tariffs will be the time this is published).
41% : This is a good way to fix the imbalances in trade agreements that have existed for decades.
40% : When Trump turns from "My policies will never change" to "You have to have flexibility" in a week, does that make him more like the (fictional!) government in George Orwell's novel "1984" declaring that "War is peace," "Freedom is slavery" and "Ignorance is strength"?
33% : President Trump did a turnaround, and the stock market rebounded.
33% : Every time Trump says "tariffs," the stock market takes a nose dive.
23% : Trump seems oblivious to John Nash's game theory, for which he won the Nobel Prize in economics.
19% : It's like what President Trump said: "Someone had to do it" (" 'Yippy' . . .
*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.