Trump pardons dark web Silk Road marketplace founder Ross Ulbricht

  • Bias Rating

    -10% Center

  • Reliability

    80% ReliableGood

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    -1% Negative

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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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

77% : [sic] 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," Trump said in a statement published on his Truth Social social media platform.
71% : "Ulbricht on X expressed gratitude for all those who voted for Trump after he won the election in November.
47% : U.S. Immigration and Customs Enforcement states Silk Road contributed to at least six overdose deaths in the United States.
45% : ""He's already served 11 years," Trump said.
43% : During a speech in late May before the Libertarian Party's national convention in Washington, D.C., Trump vowed to pardon the January 6 insurrectionists, whom he called "hostages," and commute the sentence of Ulbricht to time served if they vote for him.
33% : Prosecutors said hundreds of kilograms of illegal drugs and other unlawful goods and services were distributed to more than 100,000 buyers during the website's short life.
24% : Trump, in his statement, called those of the Justice Department who worked to convict Ulbricht "scum" and were "some of the same lunatics who were involved in the modern day weaponization of government against me.
23% : "Trump was convicted of election-related fraud by a New York court and was being prosecuted in federal court for attempting to overturn the 2020 election results when elected in November.

*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.

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