Vanity Fair Article Rating

Jack Smith's Swan Song Is Fiery Rebuke of Donald Trump

  • Bias Rating

    10% Center

  • Reliability

    70% ReliableGood

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -16% 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

-19% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

43% : Trump wrote.
38% : That's the topline conclusion of the 137-page report the now former special counsel Jack Smith released just after midnight Tuesday, formally concluding his election subversion case against the incoming president -- who has maintained not only that he is a victim of political persecution but that he has been "exonerated."
32% : "A second Smith volume, detailing his classified-documents case against Trump, has yet to be made public, pending a hearing Cannon scheduled for later this week.
28% : In a long-awaited report, the former special counsel argued that Trump would have been convicted in his election subversion case if he hadn't won the election.
28% : Trump has fought the release of Smith's "hit job" reports, just as he fought to avoid being sentenced in his hush-money conviction: "I did nothing wrong," he insisted at that hearing last week.
25% : Donald Trump likely would've been convicted for his effort to overturn the will of the voters in 2020 -- if only the voting public hadn't reelected him this past November.
13% : Trump shot back in a late-night social media post, describing Smith as a "lamebrain prosecutor" who was "unable to successfully prosecute the Political Opponent of his boss," Joe Biden: "THE VOTERS HAVE SPOKEN!!!"

*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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