Trump Demands Bishop Apologize for Asking Him to Govern With Mercy
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-38% 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
-10% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
67% : Attendees of the service included Trump, Vice President J.D. Vance, and their families.58% : Video of the speech, which spread quickly online, showed Trump staring on, stone-faced, as Budde spoke.
58% : More recently, Trump pushed a "pay to pray" scheme, asking supporters that wanted to pray with him ahead of his inauguration to pay a $100,000 donation before getting tickets to do so. Many critics online have voiced support for Budde's bravery.
53% : Trump demanded.
47% : Trump has made efforts to appeal to far right Christians, frequently pandering to the burgeoning Christian nationalist movement in the U.S.
43% : After the ceremony, Trump told reporters that he "didn't think it was a good service" and that he was bored with her sermon.
24% : In a Truth Social post the next day, Trump derided Budde by describing her as a "so-called Bishop" and a "Radical Left hard line Trump hater.
23% : " Trump also asserted that Budde was ignoring facts about immigrants, falsely claiming that they are coming to the U.S. and killing people in "large numbers.
22% : "Trump exploded in fury at Bishop Marian Budde on Truth Social...
17% : " "She brought her church into the World of politics in a very ungracious way," Trump complained in his post.
17% : Trump continued with his insults, saying Budde is "not very good at her job.
*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.