11 key lawmakers to watch in the new Congress
- Bias Rating
10% Center
- Reliability
55% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-36% 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
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
58% : Suozzi returned to the House after winning a special election early in 2024, and saw his Long Island-based district flip from supporting President Joe Biden in 2020 to Trump last year.49% : Will Harris be a solid ally of Trump's and corral conservative votes on the incoming president's behalf?
48% : Gluesenkamp Perez has similarly called on her party to prioritize rural, working-class voters like those in her southwest Washington district, which Trump won in 2024.
44% : Unlike some of his colleagues, the Kentucky libertarian doesn't take orders from Trump -- or care what he thinks.
42% : The incoming Congress brings a new cast of characters to Capitol Hill for the second Donald Trump administration as Republicans officially take control of both chambers on Friday.
39% : Golden is a former Marine veteran who continues to defy political gravity, winning a fourth term last year even as Trump carried his rural 2nd District.
30% : Massie and Roy were among the few House Republicans who did not endorse Trump in last year's GOP presidential primary, instead backing Florida Gov. Ron DeSantis.
23% : Roy could be a recurring problem for House Speaker Mike Johnson, R-La., and Trump.
19% : Or will he lead the bloc of Freedom Caucus votes to pressure Trump from the right on matters like spending and trade, where Trump tends to depart from traditional conservative philosophy?
*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.