Trump pardons Silk Road drug website founder Ross Ulbricht
- Bias Rating
Center
- Reliability
70% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
25% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
24% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
74% : "I just called the mother of Ross William Ulbricht to let her know that in honor of her and the Libertarian movement, which supported me so strongly, it was my pleasure to have just signed a full and unconditional pardon of her son, Ross," Trump wrote on Truth Social.53% : Trump, 78, had announced his plans to pardon Ulbricht during a speech at the Libertarian National Convention in May 2024 while he was on the campaign trail.
51% : Trump has made expansive use of his pardon powers during his first three days in office, clearing the sentences of more than 1,400 people involved in the Jan. 6, 2021, attack on the Capitol.
24% : President Trump pardoned Ross Ulbricht, the founder of notorious 2010s drug trafficking website Silk Road, on Tuesday.
*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.