Effects of misleading media coverage on public health crisis: a case of the 2019 novel coronavirus outbreak in China
Open accessAbstract
The coronavirus outbreak in Wuhan, China has sparked a global epidemic, which the World Health Organization declared a public health emergency of international concern on 31st January 2020 (Beijing time). This crisis has attracted intense media attention. Recently, some media outlets inappropriately labelled the coronavirus by race, using such headlines as “Chinese virus pandemonium” and even suggesting “China kids stay home.” The biased and misleading coverage presented via Western media channels has incited anger throughout the Chinese community and has placed undue stress upon Chinese individuals living outside China. This post-published review takes a tourism-focused perspective to examine findings from a quantitative study (Rodriguez-Seijas, Stohl, Hasin, & Eaton, 2015) published in 2015 in JAMA Psychiatry. The current paper highlights the potential impacts of misleading and biased media coverage on Chinese individuals’ mental health. Specifically, this work considers perceived racial discrimination stemming from coronavirus as a public health crisis and the effects of such discrimination on individuals of Chinese heritage. Similarly imperative are pertinent effects on country image and destination image with respect to tourism marketing and tourist behaviour during times of crisis. By considering racism in the context of the coronavirus outbreak, this paper identifies potential avenues for relevant research in tourism and hospitality.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The harm to China's destination image and reputation might have been led by potentially misleading news coverage associated with COVID-19.
“The harm to China's destination image and reputation might have been led by potentially misleading news coverage associated with COVID-19 (Q. Lu & Atadil, 2021; Wen et al., 2020).”
From Risk, Trust, and the Roles of Human Versus Virtual Influencers (2024) · cites this paper as Wen et al., 2020
Cites
Hui, D. S., I Azhar, E., Madani, T. A., Ntoumi, F., Kock, R., Dar, O., Ippolito, G., Mchugh, T. D., Memish, Z. A., Drosten, C., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.01.009 · Cited by 3,809 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chae, D. H., Yip, T., Martz, C. D., Chung, K., Richeson, J. A., Hajat, A., Curtis, D. S., Rogers, L. O., & LaVeist, T. A. (2021) · Public Health Reports® · doi:10.1177/00333549211018675 · Cited by 264 · see citing works
Risk, Trust, and the Roles of Human Versus Virtual Influencers
Ameen, N., Cheah, J.-H., Ali, F., El-Manstrly, D., & Kulyciute, R. (2024) · Journal of Travel Research · doi:10.1177/00472875231190601 · Cited by 133 · see citing works
- Authors
- Wen, J., Aston, J., Liu, X., & Ying, T.
- Affiliations
- Edith Cowan University (AU)
- Sichuan University (CN)
- Zhejiang University (CN)
- Corresponding author
- Wen, Jun
- Venue
- Anatolia
- Publisher
- Informa UK Limited
- Published
- 2020-02-16
- Volume
- 31
- Issue
- 2
- Pages
- 331-336
- ISSN
- 1303-2917 (ISSN-L)
- 2156-6909
- OpenAlex
- W3008073166
- Cited by
- 223
- References
- 1
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 21 · 2023: 32 · 2022: 40 · 2021: 65 · 2020: 48
- Type
- journal article
- Language
- en
- Open access
- green
- ro.ecu.edu.au
- Locations
- Anatolia (publishedVersion)
- Australasian Journal of Paramedicine (submittedVersion)
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- COVID-19 outbreak, racism, racial discrimination, Chinese Americans, mental health, public health crisis, national image, destination image, tourism marketing, tourist behavior, media bias, Chinese diaspora
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review