The DOI matches its Crossref record.
The online anti-vaccine movement in the age of COVID-19
Open accessAbstract
A new report by the Centre for Countering Digital Hate (CCDH) has lambasted social media companies for allowing the anti-vaccine movement to remain on their platforms. The report's authors noted that social media accounts held by so-called anti-vaxxers have increased their following by at least 7·8 million people since 2019. “The decision to continue hosting known misinformation content and actors left online anti-vaxxers ready to pounce on the opportunity presented by coronavirus”, stated the report.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The anti-vaccination infodemic on social media: A behavioral analysis
Germani, F., & Biller-Andorno, N. (2021) · PLOS ONE · doi:10.1371/journal.pone.0247642 · Cited by 316
RetractedJones-Jang, S. M., & Chung, M. (2024) · New Media & Society · doi:10.1177/14614448221099591 · Cited by 43
Royal society of Canada COVID-19 report: Enhancing COVID-19 vaccine acceptance in Canada
MacDonald, N. E., Comeau, J., Dubé, È., Graham, J., Greenwood, M., Harmon, S., McElhaney, J., Meghan McMurtry, C., Middleton, A., Steenbeek, A., et al. (2021) · FACETS · doi:10.1139/facets-2021-0037 · Cited by 42
Media use and vaccine resistance
Green, J., Druckman, J. N., Baum, M. A., Ognyanova, K., Simonson, M. D., Perlis, R. H., & Lazer, D. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad146 · Cited by 25
Metadata
- Authors
- Burki, T.
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 2
- Issue
- 10
- Pages
- e504-e505
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W3087482290
- Cited by
- 323
- References
- 0
- FWCI
- 84.94
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The online anti-vaccine movement in the age of COVID-19. https://app.cochat.ai/papers/10.1016/s2589-7500(20)30227-2
- The paper
- Burki, T. (2020). The online anti-vaccine movement in the age of COVID-19. The Lancet Digital Health. https://doi.org/10.1016/s2589-7500(20)30227-2
Data sources
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.