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New York Post Article Rating

Pols are rolling over for Big Pot, having learned nothing from opioids

Sep 15, 2021 View Original Article
  • Bias Rating

    96% Very Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    6% Center

  • Politician Portrayal

    -24% 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

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  •   Liberal
  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

51% : The connection between marijuana and psychosis, for example, is about as well-attested as it is possible for any such relationship to be.
49% : Politicians faced with a difficult question shrug; law enforcement finds itself dealing with other priorities; spurious industry-funded studies are promoted -- and a media consensus is formed.
44% : It should come as no surprise that "Smoke Screen," Sabet's memoir of a career fighting against cannabis legalization published this year, received almost no media attention.
43% : Yet corporate America has moved on to promoting widespread use of another serious drug, marijuana, having apparently learned nothing from the opioid crisis.
43% : If everyone from chemists and executives in Big Pharma to federal regulators and law enforcement had followed the obvious warning signs, much of the chaos could have been forestalled.

*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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