2020
DOI: 10.1136/openhrt-2020-001352
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Social media in the era of COVID-19

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Cited by 20 publications
(19 citation statements)
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“…Perhaps the founders of Twitter did not expect it to become a helpful tool in the fight against COVID-19. For example, using Twitter, a cardiologist was able to expedite the delivery of a drug to a COVID-19 patient within just 6 hours of his tweet [171]. The American Heart Association launched a registry on Twitter to aggregate COVID-19 cases to better understand risk factor profiles and treatment algorithms [171].…”
Section: Xsl • Fomentioning
confidence: 99%
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“…Perhaps the founders of Twitter did not expect it to become a helpful tool in the fight against COVID-19. For example, using Twitter, a cardiologist was able to expedite the delivery of a drug to a COVID-19 patient within just 6 hours of his tweet [171]. The American Heart Association launched a registry on Twitter to aggregate COVID-19 cases to better understand risk factor profiles and treatment algorithms [171].…”
Section: Xsl • Fomentioning
confidence: 99%
“…For example, using Twitter, a cardiologist was able to expedite the delivery of a drug to a COVID-19 patient within just 6 hours of his tweet [171]. The American Heart Association launched a registry on Twitter to aggregate COVID-19 cases to better understand risk factor profiles and treatment algorithms [171]. Hashtags such as #GetUsPPE highlighted the scarcity of PPE, resulting in technology pioneers ramping up their production of PPE [171].…”
Section: Xsl • Fomentioning
confidence: 99%
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“…In this review, we present examples of these roles of SoMe, highlighting studies leveraging SoMe during the initial shut down due to the peak of the pandemic, and its interplay in cardio-oncology. This study highlights quantitative and qualitative data supporting the efficacy of using Twitter for educational and advocacy campaigns in cardio-oncology, as well as the ability to rapidly disseminate medical information to a large, widespread audience [16,17].…”
Section: Introductionmentioning
confidence: 74%
“…Studies have thus attempted to utilize this resource to answer targeted questions associated with COVID-19. [20][21][22][23] In this study, we attempted to mine publicly available social media data from Reddit to discover and analyze the spectrum of symptoms self-reported by sufferers of long-COVID. This study builds on our prior work on the topic, which focused on extracting self-reported COVID-19 symptoms from Twitter.…”
Section: Introductionmentioning
confidence: 99%