'What exactly is a Black job?' Journalist corners Trump at contentious sit-down
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-50% 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
51% : Could be, could be, there are some," Trump said.49% : Prior to the interview, Trump was more than an hour late to his scheduled appearance, which was reportedly due to him learning that fact-checking organization Politifact would be conducting a live fact-check of his remarks.
46% : "A Black job is anybody that has a job," Trump responded, which prompted audible laughter from the room.
42% : At the beginning of the interview -- which was conducted by ABC's Rachel Scott, Semafor's Kadia Goba and Fox News' Harris Faulkner -- Trump went right into a rant about "millions and millions" of undocumented immigrants "that happen to be taking Black jobs.
40% : Huffpost reporter Phil Lewis posted to the social media platform Bluesky that there was a "standoff" between Trump and the NABJ about the fact-check, which he ultimately agreed to.
33% : Because she was Indian all the way and then all of a sudden she made a turn and she became a Black person," Trump continued, before turning his ire to Scott.
12% : Trump said. READ MORE: 'We see him': Columnist says Trump's appeals to Black voters are 'insults' "She has always identified as a Black woman," Scott answered.
11% : When Trump asked the moderators for a definition of "DEI," Scott clarified that the term meant "diversity, equity and inclusion," which resulted in some pushback from Trump.
*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.