No Labels, which sought to challenge Biden and Trump, ends its 2024 presidential bid

  • Bias Rating

    10% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    80% 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

-8% Negative

  •   Conservative
SentenceSentimentBias
"No Labels repeatedly said their impetus was to give an alternative choice to voters unsatisfied with Donald Trump and Joe Biden."
Negative
-78% Liberal
"The group had raised alarms among top Democrats, who feared a No Labels candidate would draw votes away from Biden and help Trump win."
Negative
-4% Liberal
"The group had raised alarms among top Democrats, who feared a No Labels candidate would draw votes away from Biden and help Trump win."
Negative
-4% Liberal
"I think that our democracy is at risk, and I think that No Labels is perilous to our democracy, former House Speaker Nancy Pelosi said late last year."
Negative
-28% Liberal
"No Labels repeatedly said their impetus was to give an alternative choice to voters unsatisfied with Donald Trump and Joe Biden."
Negative
-8% Liberal
"No Labels repeatedly said their impetus was to give an alternative choice to voters unsatisfied with Donald Trump and Joe Biden."
Negative
-8% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
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Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

11% : No Labels repeatedly said their impetus was to give an alternative choice to voters unsatisfied with Donald Trump and Joe Biden.

*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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