2020
DOI: 10.1080/0960085x.2020.1770632
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What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

Abstract: The World Health Organisation has emphasised that misinformationspreading rapidly through social mediaposes a serious threat to the COVID-19 response. Drawing from theories of health perception and cognitive load, we develop and test a research model hypothesising why people share unverified COVID-19 information through social media. Our findings suggest a person's trust in online information and perceived information overload are strong predictors of unverified information sharing. Furthermore, these factors,… Show more

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Cited by 375 publications
(474 citation statements)
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References 63 publications
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“…These ndings are in line with other studies showing, for example, no association between gender and cyberchondria [6] or between age and cyberchondria [19]. However, similar accurate studies have identi ed positive associations between cyberchondria, health anxiety, and COVID-19 anxiety [20], anxiety and health information-seeking behaviours [16], and cyberchondria and gender [19]. The results of the current study suggest the need for wider investigation of socio-demographic factors, such as level of education and health literacy, on the information-seeking behaviours of different populations.…”
Section: Discussionsupporting
confidence: 93%
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“…These ndings are in line with other studies showing, for example, no association between gender and cyberchondria [6] or between age and cyberchondria [19]. However, similar accurate studies have identi ed positive associations between cyberchondria, health anxiety, and COVID-19 anxiety [20], anxiety and health information-seeking behaviours [16], and cyberchondria and gender [19]. The results of the current study suggest the need for wider investigation of socio-demographic factors, such as level of education and health literacy, on the information-seeking behaviours of different populations.…”
Section: Discussionsupporting
confidence: 93%
“…There were no signi cant associations between cyberchondria and socio-demographic factors in our sample. These ndings are in line with other studies showing, for example, no association between gender and cyberchondria [6] or between age and cyberchondria [19]. However, similar accurate studies have identi ed positive associations between cyberchondria, health anxiety, and COVID-19 anxiety [20], anxiety and health information-seeking behaviours [16], and cyberchondria and gender [19].…”
Section: Discussionsupporting
confidence: 91%
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“…There are limited examples of other COVID-19 relevant topics in information systems. For instance, Laato et al (2020) explored online information overload and the sharing of unverified COVID-19 information through social media. Naidoo (2020) explored how cybercriminals have been exploiting COVID-19 to target victims, impersonating trusted sources, and using social engineering techniques.…”
Section: Remote E-working and Covid-19mentioning
confidence: 99%
“…Therefore, information sharing in families should contribute to personal preventive behaviours. However, we found some reports on COVID-19 information sharing on social media [8,9] but no reports on the COVID-19 information sharing among family members in enhancing personal preventive behaviours.…”
Section: Introductionmentioning
confidence: 58%