The Fiscal Times Article Rating

Johnson Wins Speaker's Gavel After GOP Holdouts Flip Votes

Jan 03, 2025 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    50% ReliableFair

  • Policy Leaning

    64% Medium Conservative

  • Politician Portrayal

    -31% 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

30% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

49% : "He's the one who can win right now," Trump said.
45% : "I told them they can be assured that we're going to have different processes and procedures this time around, because it's unified government, and Republicans have control of the Senate and the White House and the House, so it's a very different situation than last Congress was, and they can hold me accountable for that," Johnson said.
40% : Just before Self and Norman returned to the floor to change their votes, Trump reportedly said, "Fellas, we have a lot to do.
39% : While the vote was held open on Friday, Trump spoke to Self and Norman, pressuring them to fall in line.
39% : In an office off the House floor, Trump told the pair over a speakerphone that "it would be disrespectful to Americans who voted in an historic presidential election - to have this speaker's vote go to a second or third ballot.
24% : "Trump reportedly called holdouts to encourage them to back Johnson.
13% : Trump weighs in: President-elect Donald Trump expressed support for Johnson earlier this week, even as some conservatives complained that the speaker was weak and too willing to make deals with Democrats.

*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.

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