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Dr Oz's history of baseless medical claims as he's picked to lead Medicaid, Medicare
- Bias Rating
-16% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
-38% Somewhat Liberal
- Politician Portrayal
-1% 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
-33% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative

Somewhat Liberal
-16%
Contributing sentiments towards policy:
71% : "All I can tell you is so far I seem to be OK," Trump told reporters at the time.56% : "I get a lot of tremendously positive news on the hydroxy," Trump added, before asking: "What do you have to lose?" On his show in 2011, Oz profiled testing by a New Jersey lab that he said had found "troubling levels of arsenic" in brands of apple juice.
55% : " The FDA issued a safety warning about the drug at the time and since then, World Health Organization experts have discounted its use.
54% : " During the Covid-19 pandemic, Oz became an informal health adviser to Trump.
43% : Trump, who called the drug "the biggest game-changer in the history of medicine," admitted at the height of the pandemic that he was taking the drug as a preventative measure.
*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.


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