Table 2

Study characteristics, literature review of COVID-19-related misinformation on social media, 2020
Study referenceStudy designStudy periodGRADE score, pointsaType of social media studiedSocial media or population sampleType of misinformation reportedReported effect of misinformation
Wahbeh et al.28Cross-sectional123 days (1 Dec 2019 to 1 Apr 2020)2Twitter10 096 tweetsMisinformation in generalNR
Rufai and Bunce24Cross-sectional122 days (17 Nov 2019 to 17 Mar 2020)2Twitter203 viral tweets from leaders of the G7 countries that had more than 500 likesbMisinformation in generalNR
Kudchadkar and Carroll16Cross-sectional91 days (1 Feb to 1 May 2020)2Twitter49 865 tweetsMisinformation in generalNR
Sharov26Social media content analysis and survey70 days (2 Mar to 10 May 2020)2Several, including VKontakte, Facebook, Instagram, Twitter and Odnoklassniki3164 social media accounts and 903 survey respondentsParallels drawn between COVID-19 and a possible Third World War, characterized by: (i) heaps of coffins; (ii) mass burials and overloaded crematoria; (iii) medical personnel wearing spaceman-like, anti-plague, protective medical clothing with gas masks; (iv) empty streets; and (v) closed or empty places of worship(i) Fear; (ii) panic; (iii) misallocation of resources; (iv) stress experienced by health-care workers; and (v) “overheating of health-care sector”
Salaverría et al.25Cross-sectional31 days (14 Mar to 13 Apr 2020)2Several292 hoaxes reported on certified platformscFalse health recommendations (e.g. alkaline diet or drinking wine), falsehoods related to health management, hoaxes falsely attributed to public health institutions and rumours about science and the origin of the coronavirusNR
Subedi et al.27Survey and focus group27 days (27 Feb to 24 Mar 2020)2Facebook, Twitter, Instagram and YouTube85 medical and dental internsMisinformation in general(i) Fear; and (ii) a man died and his wife was in a critical condition after they ingested chloroquine
Chesser et al.12Survey18 days (13–31 Mar 2020)1Several, including Facebook, Instagram, Twitter and Snapchat1136 survey respondentsMisinformation in generalNR
Gebbia et al.13Cross-sectional15 days (8–22 Mar 2020)1WhatsApp446 cancer patients Misinformation in generalNR
Pérez-Dasilva et al.21Cross-sectional14 days (28 Feb to 12 Mar 2020)2Twitter34 505 social media users and 37 362 of their interactions with other usersA media war between Republicans and Democrats in the United States that used COVID-19 as a story lineNR
Jimenez-Sotomayor et al.5Cross-sectional10 days (12–21 Mar 2020)1Twitter351 tweetsMisinformation in generalNR
Kawchuk et al.14Cross-sectional8 days (24–31 Mar 2020)2Facebook1350 social media users, including website usersEffect of chiropractic treatment on specific conditions, including pregnancy and immune responses (e.g. in COVID-19)NR
Ahmed et al.2Cross-sectional8 days (27 Mar to 4 Apr 2020)1Twitter2328 tweetsConspiracy theory about the connection between 5G antennae and COVID-19NR
Masip et al.17Survey8 days (3–10 Apr 2020)2Social media in general1122 survey respondentsMisinformation in generalNR
Mustafa et al.20Cross-sectional7 days (13–19 Apr 2020)1Twitter212 846 tweetsSarcasm and humour related to COVID-19NR
Mejia et al.18Survey6 days (15–20 Mar 2020)2Social media in general4009 survey respondentsSocial media exaggerates the severity of COVID-19Fear of COVID-19 (16% of respondents strongly agreed and 25% agreed)
Morinha and Magalhaes19Survey6 days (23–28 Mar 2020)1Facebook1198 survey respondentsAlthough the true origin of SARS-CoV-2 is still unknown, there were suggestions: (i) that it originated in bats or pangolins; (ii) that animal-to-human transmission occurred outside China; and (iii) that the virus emerged through laboratory manipulationNR
Aker and Mıdık11Survey3 days (24–27 Mar 2020)1Several, including Facebook, Twitter, Instagram and WhatsApp1375 medical studentsMisinformation in generalNR
Pulido et al.22Cross-sectional2 days (6–7 Feb 2020)1Twitter942 tweetsSuggestion that SARS-CoV-2 is a biological weapon and videos of people suddenly collapsing or having a seizureNR
Pulido Rodríguez et al.23Cross-sectional2 days (6–7 Feb 2020)1Weibo and Twitter1923 posts on Weibo and 1923 tweets(i) Unproven treatments against COVID-19; (ii) pandemic as biochemical warfare; (iii) COVID-19 is a bioweapon or serves the interests of pharmaceutical companies; (iv) official information discredited; (v) false accounts of infection cases; and (vi) false information about the differences between COVID-19, flu and the common coldNR
Yuksel and Cakmak29Cross-sectional1 day (1 May 2020)1YouTube76 YouTube videosMisinformation in generalNR
Ahmad and Murad10Survey and social media content analysisNot specified2Several, including Facebook, Instagram, Snapchat, YouTube and TikTok516 social media usersMisinformation in generalPanic (26.6% of participants stated that, of all forms of information, false news about COVID-19 on social media created the greatest amount of panic)
Kouzy et al.15Cross-sectionalNot specified1Twitter673 tweets with more than  five retweetsHumorous and non-serious commentsNR

COVID-19: coronavirus disease 2019; GRADE: grading of recommendations assessment, development and evaluation; NR: not reported; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.

a Studies awarded 1 or 2 points using GRADE criteria are regarded as being of low quality; randomized trials provide the highest quality of evidence.

b The 203 tweets were posted on the verified accounts of Shinzo Abe, Giuseppe Conte, Boris Johnson, Emmanuel Macron, Angela Merkel, Charles Michel, Justin Trudeau, Donald Trump and Ursula von der Leyen; the G7 countries are Canada, France, Germany, Italy, Japan, the United Kingdom of Great Britain and Northern Ireland and the United States of America.

c The certified platforms were the Spanish accredited fact-checking platforms Maldita.es, Newtral and EFE Verifica.

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