'Anti-Woke' candidate announces presidential bid

  • Bias Rating

    -6% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    30% 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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"Haley, 51, served as ambassador to the United Nations during the Trump administration."
Positive
56% Conservative
"Ramaswamy said ending affirmative action would be a top priority for him upon taking office and named China as the top foreign policy threat to the U.S. and called for going after the Mexican cartels."
Negative
-2% Liberal
"Haley, 51, served as ambassador to the United Nations during the Trump administration."
Positive
40% Conservative
"Haley, 51, served as ambassador to the United Nations during the Trump administration."
Positive
40% Conservative
"Trump also aounced last year he is ruing for president."
Negative
-2% Liberal
"Ramaswamy's aouncement comes after Nikki Haley, the former South Carolina governor and presidential Cabinet member, aounced earlier this month she is ruing for president."
Negative
-8% Liberal

Bias Meter

Extremely
Liberal

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Liberal

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Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
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Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

78% : Haley, 51, served as ambassador to the United Nations during the Trump administration.
49% : Ramaswamy said "ending affirmative action" would be a top priority for him upon taking office and named China as the top foreign policy threat to the U.S. and called for going after the Mexican cartels.

*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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