Musk suggests Trump let public weigh in on who should lead Treasury | Jefferson City News-Tribune

Nov 17, 2024 View Original Article
  • Bias Rating

    2% Center

  • Reliability

    30% ReliableFair

  • Policy Leaning

    4% Center

  • Politician Portrayal

    1% Positive

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

4% 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:

57% : "Would be interesting to hear more people weigh in on this for realDonaldTrump to consider feedback," Musk, who Trump has already tapped to co-lead a commission tasked with increasing government spending efficiency, posted Saturday on the X social media platform he owns.
54% : Treasury is the most important slot he has left to fill, but the president-elect also has yet to announce choices for other roles, including the heads of the Education and Labor Departments -- and many leading possibilities have been jockeying to improve their standing with Trump.
41% : Trump has already announced many picks in recent days, including his choice for Secretary of State, Florida Sen. Marco Rubio, and attorney general, former Florida Rep .
39% : Separately, Trump said he'd picked a member of his legal team and former federal prosecutor, Will Scharf, as assistant to the president and White House staff secretary.

*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