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New York Post Article Rating

Lefty DA Bragg did his evil job in bid to 'rig' 2024 presidential...

  • Bias Rating
  • Reliability

    20% ReliableLimited

  • Policy Leaning

    72% Very Right

  • Politician Portrayal

    -57% 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

7% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

45% : The logic of rigging runs the opposite way, though -- because it is considered so imperative to stop Don­ald Trump, any means of opposing him becomes acceptable, indeed necessary.
43% : When Trump made his statement to reporters Wednesday morning prior to the jury getting Manhattan District Attorney Alvin Bragg's case, he repeatedly used the word "rigged," and in this instance, he was absolutely right.
43% : One possible reaction to Trump from his adversaries would have been to emphasize their commitment to rules and norms and to do everything they could to buttress them and make the case for them.
41% : Instead, they threw out the rule book beginning in 2016 and have pursued Trump according to the ethic that the ends justify the means, and that consistency, reason, and fairness are for suckers.
35% : But their recklessness has further undermined faith in the system, while the alluring idea that there's a shortcut to diminishing or defeating Trump has so far proved illusory.
32% : By any normal standard, Alvin Bragg failed in his duty as a prosecutor by flagrantly distorting the process to manufacture the 34 felonies he charged Trump with.
30% : It describes how institutions and processes have been distorted by a progressive elite to tilt the playing field against Trump and his supporters.

*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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