New York Post Article Rating

Trump's call to end birthright citizenship: Letters to the Editor -- ...

Jan 28, 2025 View Original Article
  • Bias Rating

    80% Very Conservative

  • Reliability

    30% ReliableFair

  • Policy Leaning

    98% Very Conservative

  • Politician Portrayal

    -50% 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

-1% Negative

  •   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:

33% : Why wouldn't Trump want to wipe away this scam system?Remember, the 14th Amendment was enacted after the Civil War to grant former slaves citizenship.
31% : "Bishop Budde crossed the line in her disquisition when she told Trump that LGBTQ children fear for their lives and asked him to show mercy for their parents.
26% : President Trump would be foolish to extend an apology, as some suggest he should, to leftist Bishop Mariann Budde, whose lecture at the National Prayer Service was ill-timed and in poor taste ("Holy war vs. 'nasty' DC bishop," Jan. 23).
24% : The incident had nothing to do with Trump fearing the truth, and more to do with a bishop who apparently is in denial of the truth.
21% : Trump should abandon this notion -- it's not a battle worth fighting.
20% : It is the bishop who owes Trump an immediate apology for making a spectacle of herself and for embarrassing the National Cathedral.
15% : President Trump is wrong to mess with that.

*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