'Just put the damn terrorist on trial': Social media enraged after Bragg delays Trump trial
- Bias Rating
-88% Very Liberal
- Reliability
80% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-47% 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
-17% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : Bragg wrote that "the USAO produced a subset of the materials we requested, which we timely and fully disclosed to defendant on June 8, 2023, more than nine months ago."READ MORE: Ex-federal prosecutor: Why 'criticism' of Alvin Bragg's case against Trump 'lacks merit'"Despite having access to those materials since June, defendant raised no concerns to the People about the sufficiency of our efforts to obtain materials from the USAO before last week; instead, defendant waited until January 18, 2024 to subpoena additional materials and then consented to repeated extensions of the deadline for the USAO's determination," the filing read.49% : In his filing published Thursday, Bragg wryly noted that the release of documents was a byproduct of Trump dragging his feet until January to file its motion to SDNY to release the documents.
36% : This means it will be well into April when Trump faces his first criminal trial proceeding.
34% : Michael Cohen predicts Trump will be found 'guilty on all charges' in Manhattan trialConspiracy theorist researcher Mike Rothschild referenced a popular 2016 tweet about the former president in which Twitter user Jesse Farrar posted "I'd like to see ol' Donny Trump wriggle his way out of THIS jam!
32% : *Trump wriggles his way out of the jam easily*
*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.