
As SCOTUS hears case on preventive health care, U-M expert can comment
- Bias Rating
-38% Somewhat Liberal
- Reliability
45% ReliableAverage
- Policy Leaning
-46% Medium Liberal
- Politician Portrayal
10% Negative
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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
24% Positive
- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
66% : Fendrick is a professor at the U-M Medical School and School of Public Health and member of the U-M Institute for Healthcare Policy and Innovation.65% : The case addresses a major provision of the Affordable Care Act: The ability of nearly all Americans to receive preventive health care services such as cancer screenings and vaccines recommended for them, at no cost to them, under almost all forms of health insurance.
*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.