Campaign Finance Watchdogs Threaten No Labels With Lawsuit

Jan 12, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    60% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    56% 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

-43% Negative

  •   Conservative
SentenceSentimentBias
"The letter is both a reflection of how No Labels seems to be skirting the law surrounding nonprofits and political activity by failing to register as a political party, and to how Democratic-aligned groups remain worried about the possibility No Labels will possibly tilt the presidential election toward Republican Donald Trump."
Negative
-56% Liberal
"The New York Times reported the group already has pledges of $2 million and could raise up to $300 million if their eventual ticket is viable.Democrats have long worried about No Labels' impact on the election, fearing it would steal the votes of moderates who were crucial to President Joe Biden's 2020 coalition."
Negative
-14% Liberal
"The most likely seems to be former Maryland Gov. Larry Hogan, who resigned from the group's leadership on Thursday in what The Associated Press described as potential prep for a run."
Negative
-18% Liberal
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

22% : "The letter is both a reflection of how No Labels seems to be skirting the law surrounding nonprofits and political activity by failing to register as a political party, and to how Democratic-aligned groups remain worried about the possibility No Labels will possibly tilt the presidential election toward Republican Donald Trump.

*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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