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5 takeaways from Pete Hegseth's confirmation hearing
- Bias Rating
10% Center
- Reliability
35% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-5% Negative
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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
8% 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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Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative

Center
10%
Contributing sentiments towards policy:
54% : "I have failed in things in my life, and thankfully, I'm redeemed by my lord and savior, Jesus," Hegseth replied.42% : "He comported himself extremely well and made a strong argument for why he ought to be the next Secretary of Defense," said Senate Majority Leader John Thune, R-S.D. Here are the key takeaways from the first confirmation hearing for Trump's incoming Cabinet.
28% : " When Sen. Elissa Slotkin, D-Mich., pressed Hegseth on whether "there are some orders that can be given by the commander-in-chief that would violate the U.S. Constitution," he deflected and repeatedly rejected the premise that Trump might do that.
15% : Throughout the hearing, Hegseth repeatedly lavished praise on Trump and criticized President Joe Biden's administration, channeling the language of the MAGA movement.
*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.