Prevalence of misinformation and factchecks on the COVID-19 pandemic in 35 countries: Observational infodemiology study
DC Field | Value | Language |
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dc.contributor.author | Meeyoung Cha | - |
dc.contributor.author | Cha, Chiyoung | - |
dc.contributor.author | Karandeep Singh | - |
dc.contributor.author | Gabriel Lima | - |
dc.contributor.author | Ahn, Yong-Yeol | - |
dc.contributor.author | Kulshrestha, Juhi | - |
dc.contributor.author | Varol, Onur | - |
dc.date.accessioned | 2021-07-29T07:30:02Z | - |
dc.date.accessioned | 2021-07-29T07:30:02Z | - |
dc.date.available | 2021-07-29T07:30:02Z | - |
dc.date.available | 2021-07-29T07:30:02Z | - |
dc.date.created | 2021-03-24 | - |
dc.date.issued | 2021-01 | - |
dc.identifier.issn | 2292-9495 | - |
dc.identifier.uri | https://pr.ibs.re.kr/handle/8788114/10010 | - |
dc.description.abstract | © Meeyoung Cha, Chiyoung Cha, Karandeep Singh, Gabriel Lima, Yong-Yeol Ahn, Juhi Kulshrestha, Onur Varol.Background: The COVID-19 pandemic has been accompanied by an infodemic, in which a plethora of false information has been rapidly disseminated online, leading to serious harm worldwide. Objective: This study aims to analyze the prevalence of common misinformation related to the COVID-19 pandemic. Methods: We conducted an online survey via social media platforms and a survey company to determine whether respondents have been exposed to a broad set of false claims and fact-checked information on the disease. Results: We obtained more than 41,000 responses from 1257 participants in 85 countries, but for our analysis, we only included responses from 35 countries that had at least 15 respondents. We identified a strong negative correlation between a country’s Gross Domestic Product per-capita and the prevalence of misinformation, with poorer countries having a higher prevalence of misinformation (Spearman ρ=–0.72; P<.001). We also found that fact checks spread to a lesser degree than their respective false claims, following a sublinear trend (β=.64). Conclusions: Our results imply that the potential harm of misinformation could be more substantial for low-income countries than high-income countries. Countries with poor infrastructures might have to combat not only the spreading pandemic but also the COVID-19 infodemic, which can derail efforts in saving lives. | - |
dc.language | 영어 | - |
dc.publisher | JMIR Publications | - |
dc.title | Prevalence of misinformation and factchecks on the COVID-19 pandemic in 35 countries: Observational infodemiology study | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.scopusid | 2-s2.0-85101871838 | - |
dc.identifier.rimsid | 75114 | - |
dc.contributor.affiliatedAuthor | Meeyoung Cha | - |
dc.contributor.affiliatedAuthor | Karandeep Singh | - |
dc.contributor.affiliatedAuthor | Gabriel Lima | - |
dc.identifier.doi | 10.2196/23279 | - |
dc.identifier.bibliographicCitation | JMIR Human Factors, v.8, no.1 | - |
dc.relation.isPartOf | JMIR Human Factors | - |
dc.citation.title | JMIR Human Factors | - |
dc.citation.volume | 8 | - |
dc.citation.number | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Coronavirus | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | Infodemic | - |
dc.subject.keywordAuthor | Infodemiology | - |
dc.subject.keywordAuthor | LMIC countries | - |
dc.subject.keywordAuthor | Misinformation | - |
dc.subject.keywordAuthor | Vulnerability | - |