NY Times Article Rating

Opinion | The Failures of the Health Insurance System

Jan 02, 2025 View Original Article
  • Bias Rating

    -38% Somewhat Liberal

  • Reliability

    55% ReliableFair

  • Policy Leaning

    -28% Somewhat Liberal

  • Politician Portrayal

    61% Positive

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

3% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

47% : Free public education, the abolition of slavery, labor laws, anti-discrimination laws and many other forward-looking policies began at the state level.
44% : It turns out that not-for-profit systems, like Medicare or Medicaid, and universal health care systems, like those in each Canadian province, are often neither better nor worse than the for-profit offering.
42% : To the Editor:Re "Why I Quit My Job as a Health Insurance Executive," by Wendell Potter (Opinion guest essay, Dec. 20):The problems with private health coverage are not things that marginal changes can fix.
35% : Len DiSesaDresher, Pa.Making Polluters PayTo the Editor:Re "New York Law Makes Polluters Pay on Climate" (front page, Dec. 27):One billion tons of pollution globally over the past 24 years is a very big mess that fossil fuel companies have made.

*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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