When Donald Trump Tried Playing 'Cupid' to Journalist Jonathan Lemire: "I Can Make That Happen"
- Bias Rating
10% Center
- Reliability
65% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-58% 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% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
63% : "I will look at it at the time," Trump said.37% : As per The Huff Post, the Way Too Early host revealed that while he was interning for the New York Daily News in 2001 Trump tried to play cupid for him at an event.
34% : Trump regarded his opponents with disdain.
33% : Trump reportedly replied: "Well, you both have red hair so I just assumed you guys were together."
31% : "Lemire stated he "never saw that woman again in my life" and "did not take Donald Trump up on his matchmaking ability," he told Meyers.
25% : Lemire then told Trump that they weren't dating.
16% : After Trump lost the Iowa primary, he erroneously claimed that Cruz had stolen the state.
15% : In March 2023 Trump ironically called out Lemire and labeled him 'boring' on X, he tweeted: "Is there anybody on television more boring than ratings failing Morning Joe's Pre-Show, Jonathan Lemire?
9% : "Based on the fraud committed by Senator Ted Cruz during the Iowa Caucus, either a new election should take place or Cruz results nullified," Trump tweeted.
4% : As per The Guardian, Lemire argues in his book that during the 2016 campaign, Trump invented the "big lie" as a fallback if he lost to Hillary Clinton in the general election or Senator Ted Cruz in the primary.
*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.