The DOI matches its Crossref record.
Officials gird for a war on vaccine misinformation
Abstract
Fears of a rushed COVID-19 vaccine and rise of social media demand new messaging strategy.
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In the citing paper
“Misinformation spread through multiple channels could have a considerable effect on the acceptance of a COVID-19 vaccine8.”
From A global survey of potential acceptance of a COVID-19 vaccine (2021) · cites this paper as [8]
Citations
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Items 101–119 of 119
Kosić, A., Kenfack, C. S. K., & Dionisi, E. (2024) · Analyses of Social Issues and Public Policy · doi:10.1111/asap.12378 · Cited by 4
(2024) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets57623 · Cited by 1
A Cognitive Approach to Understanding and Mitigating a Pernicious Infodemic
Kaufman, D. R., & Taylor, T. (2024) · Cognitive informatics in biomedicine and healthcare · doi:10.1007/978-3-031-69947-4_8 · Cited by 1
False Information in a Post Covid-19 World
Ahmed, M., Martin, C., Walker, T., et al. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-90087-8_18 · Cited by 1
Hu, T., Wang, S., Luo, W. P., Zhang, M., Huang, X., Yan, Y., Liu, R., Ly, K., Kacker, V., She, B., et al. (2021) · doi:10.2196/preprints.30854 · Cited by 1
Akter, S., Bajinka, O., faria, F. S., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2284105/v1 · Cited by 1
Huang, H., & Qiu, Y. (2021) · doi:10.2196/preprints.30136
Gautam, A., Dhara, B., Mukherjee, D., et al. (2020) · doi:10.31219/osf.io/w97s3
Berta, R., ́Apollo, R. D., Figueroa, T., et al. (2022) · Boletín Venezolano de Infectología · doi:10.54868/bvi.2022.33.1.2
(2023) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0065-283020230000051010
Li, Z., Li, Z., & Hajiyev, A. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202340906007
Perception And Attitude Towards COVID-19 Vaccine: A Cross-Sectional Study From Pakistan
Malik, K., Batool, F., Bari, S., et al. (2023) · Journal of Rawalpindi Medical College · doi:10.37939/jrmc.v27i3.2205
Domestic Laws Governing Post-Pandemic Crime and Criminal Justice
Urbas, G., & Smith, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-29107-4_8
Labeled data and models for COVID-19 vaccine related tweets with stance, location, and topicsPreprint
Rahman, A., Ehsan, M., & Alhoori, H. (2024) · arXiv (Cornell University) · doi:10.5281/zenodo.6842883
Covid-19 vaccination acceptance among visitors of Erbil primary health care centers
Sulaiman, K. H. (2024) · Diyala Journal of Medicine · doi:10.26505/djm.v26i1.1085
Bakare, K. K., Husain, K., Hamed, P. K., et al. (2024) · Lecture notes in educational technology · doi:10.1007/978-981-97-4507-4_77
The COVID-19 Infodemic: A Survey (Preprint)Preprint
Al-Qahtani, A. F., Abbas, H., Cresci, S., & Pietro, R. D. (2025) · doi:10.2196/preprints.71318
Xu, Q., Zhao, T., Cai, X., et al. (2025) · Reviews in Medical Virology · doi:10.1002/rmv.70079
Metadata
- Authors
- Cornwall, W.
- Corresponding author
- Cornwall, Warren
- Venue
- Science
- Published
- 2020-07-03
- Volume
- 369
- Issue
- 6499
- Pages
- 14-15
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3038426841
- Cited by
- 119
- References
- 0
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 10 · 2023: 18 · 2022: 29 · 2021: 45 · 2020: 12
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Social Sciences › Communication › Communication and COVID-19 Impact
- Keywords
- vaccine misinformation, COVID-19 vaccines, social media, public health communication, vaccine hesitancy, health communication strategies
- MeSH terms
- Anti-Vaccination Movement, COVID-19, COVID-19 Vaccines, Humans, Pneumonia, Viral, United States, Viral Vaccines, Coronavirus Infections, Pandemics, Social Media
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.
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