What Trump documents case dismissal means for special counsels and Jack Smith

  • Bias Rating

    40% Medium Conservative

  • Reliability

    75% ReliableGood

  • Policy Leaning

    82% Extremely Conservative

  • Politician Portrayal

    -60% 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

Overall Sentiment

31% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

36% : Chutkan at some point will likely have to weigh in on the issue of Smith's appointment by Garland, and if she rules against Trump, the defense does not enjoy the benefit of appealing an unfavorable decision until after a potential trial concludes, legal experts told the Washington Examiner.CLICK HERE TO READ MORE FROM THE WASHINGTON EXAMINERFor now, court watchers will wait in earnest to see how the 11th Circuit rules and whether the Supreme Court once again is compelled to wade into Trump's legal travails over this important Article 2 question.
33% : Any appeal is likely to be resolved after the presidential election, all but guaranteeing that Trump would not face trial until 2025 at the earliest.
25% : For the classified documents case, Trump could appeal an 11th Circuit decision to reverse Cannon's dismissal of the case.
23% : If Trump is elected president in November, he could order his attorney general to dismiss the case, as well as the 2020 election subversion case.
21% : The judge presiding over the classified documents case against former President Donald Trump made waves Monday after she dismissed the indictment based on the "unconstitutional" appointment of special counsel Jack Smith, raising questions about the future of Smith's two cases against Trump.

*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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