Yahoo News Article Rating

The Republican senators who could be headaches for Trump's nominees

  • Bias Rating

    -6% Center

  • Reliability

    55% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -40% 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

7% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

51% : Over the past several years, she's been involved in several bipartisan deals, including the bipartisan infrastructure law and a law to protect same-sex marriage.
50% : Other possibilitiesMost Republican senators are likely to give Trump the rubber stamp when it comes to his nominees.
42% : In the meantime, Trump will have to deal with a 53-47 Republican-controlled Senate.
39% : Trump is dealing with a more obedient party than he was during his first term, owing to successive election cycles in which some of his intraparty antagonists have either retired or gone down in defeat.
35% : She has also said she didn't vote for Trump in 2016 or 2024.
34% : Trump has begun pushing the idea of "recess appointments," which would allow him to staff up his administration without the Senate's input.
32% : She has said she's never voted for Trump and has been highly critical of him.
14% : Gaetz, for example, has drawn immediate criticism from Republicans who are otherwise likely to support Trump and his nominees.

*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.

Copy link