The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Misinformation of COVID-19 vaccines and vaccine hesitancy
Open accessAbstract
The current study examined various types of misinformation related to the COVID-19 vaccines and their relationships to vaccine hesitancy and refusal. Study 1 asked a sample of full-time working professionals in the US (n = 505) about possible misinformation they were exposed to related to the COVID-19 vaccines. Study 2 utilized an online survey to examine U.S. college students’ (n = 441) knowledge about COVID-19 vaccines, and its associations with vaccine hesitancy and behavioral intention to get a COVID-19 vaccine. Analysis of open-ended responses in Study 1 revealed that 57.6% reported being exposed to conspiratorial misinformation such as COVID-19 vaccines are harmful and dangerous. The results of a structural equation modeling analysis for Study 2 supported our hypotheses predicting a negative association between the knowledge level and vaccine hesitancy and between vaccine hesitancy and behavioral intention. Vaccine hesitancy mediated the relationship between the vaccine knowledge and behavioral intention. Findings across these studies suggest exposure to misinformation and believing it as true could increase vaccine hesitancy and reduce behavioral intention to get vaccinated.
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Cites
Multivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,255
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Dubé, E., Laberge, C., Guay, M., Bramadat, P., Roy, R., & Bettinger, J. A. (2013) · Human Vaccines & Immunotherapeutics · doi:10.4161/hv.24657 · Cited by 2,172
Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA
Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01056-1 · Cited by 1,800
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The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions
Jolley, D., & Douglas, K. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089177 · Cited by 1,232
Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S.
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Cited by
Deiana, G., Dettori, M., Arghittu, A., Azara, A., Gabutti, G., & Castiglia, P. (2023) · Vaccines · doi:10.3390/vaccines11071217 · Cited by 168
Sallam, M., Salim, N. A., Al-Tammemi, A. B., Barakat, M., Fayyad, D., Hallit, S., Harapan, H., Hallit, R., & Mahafzah, A. (2023) · Cureus · doi:10.7759/cureus.35029 · Cited by 130
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Zhang, Y., Gaggiano, J. D., Yongsatianchot, N., Suhaimi, N. M., Kim, M., Sun, Y., Griffin, J., & Parker, A. G. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581019 · Cited by 29
Metadata
- Authors
- Lee, S. K., Sun, J., Jang, S., & Connelly, S.
- Venue
- Scientific Reports
- Published
- 2022-08-11
- Volume
- 12
- Issue
- 1
- Pages
- 13681-13681
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W4290805617
- Cited by
- 269
- References
- 30
- FWCI
- 82.45
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
