Column: The Gaetz nomination
- Bias Rating
50% Medium Conservative
- Reliability
15% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-14% 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
15% 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:
71% : Trump and Gaetz know confirmation will be tough.50% : If this is the deal Gaetz made with Trump, it seems time is on their side.
45% : After being sworn in as president, Trump could legally appoint Gaetz as attorney general for a fixed amount of time.
38% : It was a deal Trump could not refuse.
37% : In the process of returning records, Trump claimed he had a right to them.
30% : Political insiders expected Trump to pick a more conventional candidate, perhaps Sen. Mike Lee of Utah.
30% : Smith argued that Trump failed to return federal records to the National Archives.
29% : Garland is overseeing special counsel Jack Smith's federal records case against Trump.
29% : Trump might want Gaetz to release hundreds of thousands of classified documents from Smith's and Hillary Clinton's files.
21% : After Trump nominated Gaetz, the special counsel and his legal team announced they would resign before Trump takes office.
19% : Others suggested that Gaetz made Trump a deal.
13% : As a member of the House Judiciary Committee, Gaetz humiliated Garland for assigning one of his attorneys to prosecute Trump in the New York cases involving alleged "hush money" payments and alleged real estate fraud.
7% : Gaetz and Trump might suspect Garland lied to Congress about his involvement in the cases.
*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.