New York Post Article Rating

The many, nasty faces of Kamala Harris: VP only reinforced the fatal...

Sep 12, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    45% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -19% 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% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

57% : "When Trump was in office -- not going to lie -- I was living way better," she said.
48% : Trump, on the other hand, never changes.
42% : The smart analysis of the first -- and maybe only -- debate of the Trump-Harris presidential cycle is that Don­ald Trump blew it.
34% : While Trump was speaking and Harris knew her face was alongside his on the split screen, she would flash through a dozen different personas in 60 seconds, like an overmedicated Sybil.
34% : "But Trump, not exactly a stranger to power moves, was unfazed.
31% : That's the message from a group of 10 undecided voters in a Reuters focus group, six of whom turned toward Trump after the debate.
30% : If you switched off the sound for the ABC debate Tuesday night and just watched the images, you would come away feeling deep distaste for the haughty flibbertigibbet who kept pulling faces while Trump was speaking.

*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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