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It Really Sucks to Be Elise Stefanik Right Now
- Bias Rating
10% Center
- Reliability
50% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-18% Negative
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By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
18% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Center
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Conservative
-100%
Liberal
100%
Conservative

Center
10%
Contributing sentiments towards policy:
56% : It must have seemed like a pretty sweet gig: no management responsibilities at all, but a lot of public attention (just like her predecessor Nikki Haley), and the chance to please The Boss by attacking his growing list of global enemies.53% : Well, if Trump is telling the truth (never a given), there remains the fear that even with fresh troops from Florida, the margin in the House is too narrow for comfort with the "one big, beautiful bill" implementing the president's legislative agenda still on tap and not sure to reach the House floor until late spring or even summer.
40% : Is the myth of Trump 2.0 as a fast-moving and irresistible force crushing all opposition perhaps slightly hollow?
27% : Or is this all a ruse and the extremely ambitious House Republican Conference chair said or did something to displease the man upstairs (meaning Trump, not God)?
9% : She announced way back on November 10 -- so long ago that DOGE was just an evil glimmer in Elon Musk's eyes -- that Donald Trump had offered her the Cabinet-level position of U.S. 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.


Check out this free eBook to learn more about detecting misinformation in the news.