New York Post Article Rating

CNN panel roasts Kamala Harris for failing to set out her vision...

Oct 24, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    60% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -37% 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

10% Positive

  •   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:

32% : [Cooper] asked a direct question, 'Would you be stronger on Israel than Trump?'
29% : "Trump has claimed during his campaign to retake power that he would bring "retribution" -- but at other points has said that his revenge simply would be a successful second term.
22% : "America's immigration system is broken and it needs to be fixed and has been broken for a long time," Harris deflected, defaulting to familiar campaign talking points before blaming Trump for helping crush a bipartisan bill this year that conservatives said did too little to restrict the release of illegal immigrants who sought asylum after crossing the border.
11% : Harris focused much of her appeal to swing voters on emphasizing that she is not Trump, whom she said she considers a fascist.
7% : Cooper asked Harris shortly after the town hall began, citing the recent criticism of Trump by his former White House chief of staff John Kelly and former chairman of the joint chief of staff Mark Milley.

*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