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National Review Article Rating

Elise Stefanik Returns to the North Country | National Review

  • Bias Rating

    76% Very Conservative

  • Reliability

    75% ReliableGood

  • Policy Leaning

    82% Very Conservative

  • Politician Portrayal

    -21% 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

42% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

62% : There are others that can do a good job at the United Nations.
40% : But as tempted as some are to attribute this move to Republican electoral jitters in general -- though these always lurk beneath the surface -- this move may actually be exactly what Trump says it is.
37% : The potential for disaster brews, and with Republicans already jumpy about Randy Fine winning the race to replace National Security Adviser Mike Waltz in Florida's 6th District next Tuesday, it actually makes decent sense for Trump to recall Stefanik to keep the seat safe.
32% : The immediate assumption was that it had to do with the remarkably narrow House majority that the Republicans currently wield, and so thankfully Donald Trump helped all pundits out mightily by confirming that this was at least the cover story: With a very tight Majority, I don't want to take a chance on anyone else running for Elise's seat.
29% : When Trump writes "I don't want to take a chance on anyone else running for Elise's seat" there is likely more here than generic language.
3% : A note on some truly shocking news: Without prior warning, Donald Trump has withdrawn New York Representative Elise Stefanik's nomination for ambassador to the United Nations.

*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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