Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter
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On July 27, 2020, former US President Donald Trump retweeted to his then 84 million
Twitter followers an online video, published by the Breitbart website, promoting misinformation
about the anti-malarial drug, hydroxychloroquine.1 The video, featuring Dr Stella
Immanuel and a group called America’s Frontline Doctors, falsely claimed that the
combination of hydroxychloroquine, zinc, and azithromycin (an antibiotic) could cure
COVID-19.1 Twitter subsequently removed President Trump’s retweet, temporarily suspended
and removed tweets from his son, Donald Trump Jr, and removed and suspended other
accounts sharing this false information as a violation of its COVID-19 misinformation
policy.
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