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Wonkette Article Rating

Elise Stefanik Cancels The Drapes

  • Bias Rating

    10% Center

  • Reliability

    60% ReliableAverage

  • Policy Leaning

    10% Center

  • 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

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  •   Conservative
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

84% : All the press conferences where I praised Donald Trump as the best president ever.
62% : Well, I'd like to be UN ambassador, but sometimes we have to give up our dreams.
59% : THEN THE WIFE AND I DROVE UP TO CHAGRIN FALLS AND ATE ICE CREAM.
45% : So I can go back to the House with my tail tucked between my legs and my position in caucus leadership gone?
38% : So I can grind my teeth into powder every time Marjorie Taylor Greene tells me, "Girl, we need to git you on a treadmill, that baby weight ain't gonna take itself off"?
37% : I wanted to be UN ambassador so I wouldn't have to keep visiting podunk little tourist traps, ooo-ing and ahh-ing at every fucking cable knit sweater some country housewife ingeniously makes with alpaca hair or whatever.
35% : So I can pretend Paul Gosar doesn't make my teeth itch? God, all the toadying I did to get that nomination.
23% : I always sneer at people who say Trump destroys everything he touches.
20% : Listen, it isn't my fault Trump and the Republicans are so unpopular that they are in danger of losing special elections in congressional districts they just won by 20 or 30 points five months ago.
20% : It isn't my fault Mike Johnson is such a weenie that Trump has to corral our own caucus members before a vote, and would much rather have me there to do it.

*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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