
Why did Donald Trump free Ross Ulbricht?
- Bias Rating
- Reliability
70% ReliableGood
- Policy Leaning
6% Center
- Politician Portrayal
-22% 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
11% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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100%
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Contributing sentiments towards policy:
58% : This group was made up of libertarians and cryptocurrency holders, who had made Ulbricht into a cause celebre after he was handed a double life sentence plus 40 years for non-violent crimes.57% : The dark web site was based on the libertarian non-aggression principle, allowing people to buy and sell anything, so long as no third party was harmed.
57% : Over countless hours, I have searched my soul and examined the misguided decisions I made when I was younger.
56% : Read our privacy policy Standing on stage at the Bitcoin 2024 Conference in Nashville last summer, Donald Trump knew exactly how to get the crowd on his side.
50% : " On Tuesday - the first full day of his presidency - Trump granted Ulbricht a full and unconditional pardon, allowing him to walk free after more than 11 years of incarceration.
36% : But rather than insurrectionists, Trump was placating a less violent section of his supporters.
31% : In pardoning Ulbricht, Trump used similar language to compare Ulbricht's case with his own legal troubles.
29% : It has inevitably drawn comparisons to other politically-motivated pardons granted by Trump, most notably around 1,500 January 6 rioters - some of whom were found guilty of seditious conspiracy and assaulting law enforcement officers.
*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.