@article{Cha2021-02-13Preva-53936,
  year={2021},
  doi={10.2196/23279},
  title={Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries : Observational Infodemiology Study},
  number={1},
  volume={8},
  journal={JMIR human factors},
  author={Cha, Meeyoung and Cha, Chiyoung and Singh, Karandeep and Lima, Gabriel and Ahn, Yong-Yeol and Kulshrestha, Juhi and Varol, Onur},
  note={Article Number: e23279}
}

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    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:creator>Singh, Karandeep</dc:creator>
    <dcterms:title>Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries : Observational Infodemiology Study</dcterms:title>
    <dc:contributor>Varol, Onur</dc:contributor>
    <dc:contributor>Cha, Chiyoung</dc:contributor>
    <dc:contributor>Ahn, Yong-Yeol</dc:contributor>
    <dc:creator>Lima, Gabriel</dc:creator>
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    <dcterms:abstract xml:lang="eng">Background:&lt;br /&gt;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.&lt;br /&gt;&lt;br /&gt;Objective:&lt;br /&gt;This study aims to analyze the prevalence of common misinformation related to the COVID-19 pandemic.&lt;br /&gt;&lt;br /&gt;Methods:&lt;br /&gt;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.&lt;br /&gt;&lt;br /&gt;Results:&lt;br /&gt;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&lt;.001). We also found that fact checks spread to a lesser degree than their respective false claims, following a sublinear trend (β=.64).&lt;br /&gt;&lt;br /&gt;Conclusions:&lt;br /&gt;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.</dcterms:abstract>
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    <dc:contributor>Kulshrestha, Juhi</dc:contributor>
    <dcterms:issued>2021-02-13</dcterms:issued>
    <dc:language>eng</dc:language>
    <dc:creator>Varol, Onur</dc:creator>
    <dc:contributor>Lima, Gabriel</dc:contributor>
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    <dc:contributor>Singh, Karandeep</dc:contributor>
    <dc:creator>Cha, Chiyoung</dc:creator>
    <dc:creator>Kulshrestha, Juhi</dc:creator>
    <dc:contributor>Cha, Meeyoung</dc:contributor>
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