The DOI matches its Crossref record.
Vaccine misinformation and social media
Open accessAbstract
On Aug 19, 2019, British Prime Minister Boris Johnson outlined plans for a summit of social media firms to discuss how to promote accurate information about vaccination. The announcement accompanied the news that WHO no longer considers the UK to have eliminated measles. Coverage of the second dose of the measles–mumps– rubella (MMR) vaccine in the country has fallen to 87%, lower than the 95% required for herd immunity. “I am afraid people have just been listening to that superstitious mumbo-jumbo on the Internet, all that antivax stuff, and thinking that the MMR vaccine is a bad idea”, commented Johnson on a visit to a hospital in southwest England.
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“Reaching these required vaccination levels should not be assumed given well-documented evidence of vaccine hesitancy across the world 17 , which is often fuelled by online and offline misinformation surrounding the importance, safety or effectiveness of vaccines 18-20 .”
From Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA (2021) · cites this paper as [19]
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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
Islam, M. S., Kamal, A.-H. M., Kabir, A., Southern, D. L., Khan, S. H., Hasan, S. M. M., Sarkar, T., Sharmin, S., Das, S., Roy, T., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251605 · Cited by 535
“While acknowledging that numerous contextual, social and vaccine related factors can influence vaccine acceptance, including perceptions of the likelihood of getting the disease and risk perceptions towards the vaccine [27], the unsubstantiated claims of morbidity and mortality related to COVID-19 vaccine circulating…”
BackgroundRecommender systems and their ethical challenges
Milano, S., Taddeo, M., & Floridi, L. (2020) · AI & SOCIETY · doi:10.1007/s00146-020-00950-y · Cited by 556
“A relatively recent but worrying example is the spread of propaganda against vaccines, which has been linked to a decrease in herd immunity (Burki 2019).”
BackgroundMurić, G., Wu, Y., & Ferrara, E. (2021) · JMIR Public Health and Surveillance · doi:10.2196/30642 · Cited by 320
Vaccine Hesitancy: Contemporary Issues and Historical Background
Nuwarda, R. F., Ramzan, I. M., Weekes, L., & Kayser, V. (2022) · Vaccines · doi:10.3390/vaccines10101595 · Cited by 341
Metadata
- Authors
- Burki, T.
- Corresponding author
- Burki, Talha
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 1
- Issue
- 6
- Pages
- e258-e259
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W2977219551
- Cited by
- 243
- References
- 0
- Citations by year
- 2026: 16 · 2025: 26 · 2024: 27 · 2023: 32 · 2022: 74 · 2021: 52 · 2020: 15 · 2019: 1
- FWCI
- 71.50
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Social Sciences › Health › Social Media in Health Education
- Keywords
- vaccine misinformation, social media, anti-vaccine movement, MMR vaccine, herd immunity, vaccination coverage, measles elimination, misinformation countermeasures, online health information
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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.
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