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National Review Article Rating

This Is What They Wanted to Do to Trump | National Review

  • Bias Rating

    50% Medium Conservative

  • Reliability

    45% ReliableAverage

  • Policy Leaning

    62% Medium Conservative

  • Politician Portrayal

    -45% 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

17% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

63% : In fact, in the very early going, Le Pen is in a stronger position than Trump was last year.
44% : Are we supposed to believe she'd get elected president and undertake -- after all the trouble of fighting this case and getting convicted -- a new scheme to funnel EU money to party workers?
37% : Democrats had to beat Trump fair and square, without his being jailed or sitting in a courtroom for much of the campaign, and couldn't do it.
33% : No, it's exactly like trying to keep Donald Trump from running in 2024 -- taking out the leader of a powerful movement who has a very good chance of winning a national election.
33% : As compared to the disruption to the democratic order of the leading candidate for the presidency getting banned from running for office? The lawfare campaign against Trump failed because, even with an attenuated felony on the books, he could still keep running, while the other cases fell apart based on prosecutorial misconduct (Fani Willis) or constitutional infirmity (Jack Smith), impossible timing, and the Supreme Court's immunity decision.
26% : It isn't a coincidence that she, like Trump, is feared and loathed by her opponents and the political establishment.

*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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