34,950
Views
278
CrossRef citations to date
0
Altmetric
Special Communications

What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?

, , & ORCID Icon
Pages 288-305 | Received 17 Apr 2020, Accepted 13 May 2020, Published online: 07 Jun 2020
 

ABSTRACT

The World Health Organisation has emphasised that misinformation – spreading rapidly through social media – poses 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, along with a person’s perceived COVID-19 severity and vulnerability influence cyberchondria. Females were significantly more likely to suffer from cyberchondria, with males more likely to share news without verifying its reliability. Our findings suggest that to mitigate the spread of COVID-19 misinformation and cyberchondria, measures should be taken to enhance a healthy scepticism of health news while simultaneously guarding against information overload.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. WHO Director-General Tedros Adhanom Ghebreyesus at the Munich Security Conference on Feb 15.

2. For more information on COVID-19 fake news, see World Health Organisation Busting COVID-19 myths at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters.

4. Internet World Stats usage and population statistics, https://www.internetworldstats.com/stats3.htm#asia, (accessed on April 8 2020).

5. Social media stats Bangladesh, https://gs.statcounter.com/social-media-stats/all/bangladesh, (accessed on April 8 2020).

6. Bangladesh confirms its first three cases of coronavirus, Reuters.https://www.reuters.com/article/us-health-coronavirus-bangladesh-idUSKBN20V0FS, (accessed on April 8 2020).

7. Corona Info BD, IEDCR. https://corona.gov.bd/, (accessed on April 8 2020).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 337.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.