Tylenol and childhood vaccines reason behind autism, avoid such usage: Donald Trump
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
62% Medium Right
- Politician Portrayal
-36% Negative
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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
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
64% : Trump said he is a big believer in vaccines, having led in his first-term the pandemic initiative to speed COVID-19 vaccine development.42% : The advice from Trump, who has no medical training and also pointed out "I'm not a doctor," goes against that of medical societies, which cite data from numerous studies showing acetaminophen plays a safe role in the well-being of pregnant women.
40% : The advice from Trump, who has no medical training and also pointed out "I'm not a doctor," goes against that of medical societies, which cite data from numerous studies showing acetaminophen plays a safe role in the well-being of pregnant women U.S. President Donald Trump on Monday linked autism to childhood vaccines and also to the use of popular pain medication Tylenol for pregnant women and children, claims which are not backed by decades of science.
40% : Don't take it," Trump said.
25% : " Standing next to Health Secretary Robert F. Kennedy Jr., a vaccine critic who has argued that no vaccine is safe, Trump called for a reexamination of a link between vaccines and autism, a theory that has been repeatedly debunked, and a series of changes not grounded in science.
21% : The FDA will notify doctors that using Tylenol during pregnancy can be associated with a very increased risk of autism, Trump said, without presenting evidence for the claim.
*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.