2021
DOI: 10.1093/jamia/ocab219
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Dynamics of social corrections to peers sharing COVID-19 misinformation on WhatsApp in Brazil

Abstract: Objective Online COVID-19 misinformation is a serious concern in Brazil, home to the second largest WhatsApp user base and the second highest number of COVID-19 deaths. We examined the extent to which WhatsApp users might be willing to correct their peers who might share COVID-19 misinformation. Materials and Methods We conducted a cross-sectional online survey using Qualtrics among N = 726 Brazilian adults to identify the ty… Show more

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Cited by 17 publications
(15 citation statements)
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“…There is an important difference in the global mortality rate between the Brazilian series and our study. This difference in the global mortality rate can be because of the circulation of deadly variants, such as the Gamma variant, the collapse of the Brazilian health system during outbreak waves, and public misinformation (20,21). However, both studies, one with high mortality rate and the other with a low rate, still show no mortality difference due to COVID-19 between CD and control groups.…”
Section: Discussionmentioning
confidence: 97%
“…There is an important difference in the global mortality rate between the Brazilian series and our study. This difference in the global mortality rate can be because of the circulation of deadly variants, such as the Gamma variant, the collapse of the Brazilian health system during outbreak waves, and public misinformation (20,21). However, both studies, one with high mortality rate and the other with a low rate, still show no mortality difference due to COVID-19 between CD and control groups.…”
Section: Discussionmentioning
confidence: 97%
“…Three studies proposed a collaborative approach between government agencies and social media platforms to address the spread of COVID-19 misinformation [51,53,58]. Zhang et al [62] stated that targeted measures must be taken by both governing bodies and social media companies to counter and control the infodemic.…”
Section: Subtheme 53: Collaboration Between Government Organizations ...mentioning
confidence: 99%
“…In this sense, Martins et al [2021] present the COVID-19.BR dataset from the collection and manual labeling of messages from public WhatsApp groups. Other research focuses on users who share misinformation, including Vijaykumar et al [2021], who look at existing patterns in people when exposed to misinformation online. In addition, Roque et al [2021] feature a chatbot based on information from reliable sources to answer questions about COVID-19 in order to facilitate the general population's access to verified and quality information.…”
Section: Related Workmentioning
confidence: 99%