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New York Post Article Rating

Trump's no-penalty sentence: Letters to the Editor -- Jan. 14, 2025

Jan 13, 2025 View Original Article
  • Bias Rating

    44% Medium Conservative

  • Reliability

    30% ReliableAverage

  • Policy Leaning

    78% Very Conservative

  • Politician Portrayal

    -62% 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

-11% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Medium Conservative

44%

Contributing sentiments towards policy:

45% : The fiasco with Judge Juan Merchan, Manhattan District Attorney Alvin Bragg and Trump is over.
41% : He claims to be resisting government influence, yet his decision reeks of political pressures, just from a different faction.
27% : Trump tried to hide a sexual liaison with a porn star before the she went public prior to the 2016 election and because a president cannot be charged with a crime while in office, Merchan was under a time constraint.
27% : Trump and his attorneys did everything they could to delay the proceedings with briefs that had no merit, yet people want to criticize the justice system for finding him a convicted criminal.
26% : Let me get this correct: Trump was convicted of 34 counts and the punishment is nothing.

*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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Check out this free eBook to learn more about detecting misinformation in the news.

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