The DOI matches its Crossref record; 80 of the 83 references it cites were found in a registry or an index.
Anti-vaccine activists, Web 2.0, and the postmodern paradigm - An overview of tactics and tropes used online by the anti-vaccination movement
Abstract
Websites opposing vaccination are prevalent on the Internet. Web 2.0, defined by interaction and user-generated content, has become ubiquitous. Furthermore, a new postmodern paradigm of healthcare has emerged, where power has shifted from doctors to patients, the legitimacy of science is questioned, and expertise is redefined. Together this has created an environment where anti-vaccine activists are able to effectively spread their messages. Evidence shows that individuals turn to the Internet for vaccination advice, and suggests such sources can impact vaccination decisions - therefore it is likely that anti-vaccine websites can influence whether people vaccinate themselves or their children. This overview examines the types of rhetoric individuals may encounter online in order to better understand why the anti-vaccination movement can be convincing, despite lacking scientific support for their claims. Tactics and tropes commonly used to argue against vaccination are described. This includes actions such as skewing science, shifting hypotheses, censoring dissent, and attacking critics; also discussed are frequently made claims such as not being "anti-vaccine" but "pro-safe vaccines", that vaccines are toxic or unnatural, and more. Recognizing disingenuous claims made by the anti-vaccination movement is essential in order to critically evaluate the information and misinformation encountered online.
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“Parents who go to the Internet will find that some of the top “hits” for vaccine-related search terms are websites that propagate anti-vaccine conspiracy theories [14], [15].”
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In the citing paper
“Such attempts at intervention may therefore fail on people who are sympathetic to a variety of conspiracy claims [14], [15].”
From The Effects of Anti-Vaccine Conspiracy Theories on Vaccination Intentions (2014) · cites this paper as [14]
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How do you solve a problem like misinformation?
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How heuristics and cognitive biases affect vaccination decisions
Luz, P. M., Nadanovsky, P., & Leask, J. (2020) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00136620 · Cited by 37
Sustaining Vaccine Confidence in the 21st Century
Hardt, K., Schmidt‐Ott, R., Glismann, S., Adegbola, R. A., & Meurice, F. (2013) · Vaccines · doi:10.3390/vaccines1030204 · Cited by 36
“Despite numerous studies that failed to show a link between the MMR vaccine and autism, media coverage of the allegations was vast, and a significant decrease in vaccination trust and vaccine coverage occurred and still remains in various countries [31,32].”
BackgroundResultPot, M., van Keulen, H. M., Ruiter, R. A. C., Eekhout, I. E., Mollema, L., & Paulussen, T. G. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.04.005 · Cited by 35
“Nowadays, many counterarguments can be found on the internet and online social media, posted by, for instance, worried parents, anti-vaccination groups, and the alternative medical community (Kata, 2012).”
Contextualizing educational differences in "vaccination uptake": A thirty nation survey.
Makarovs, K., & Achterberg, P. (2017) · Social Science & Medicine (1967) · doi:10.1016/j.socscimed.2017.06.039 · Cited by 37
Meadows, C. Z., Tang, L., & Liu, W. (2019) · American Journal of Infection Control · doi:10.1016/j.ajic.2019.05.007 · Cited by 34
Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter
Zhang, M., Qi, X., Chen, Z., & Liu, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031651 · Cited by 34
Scientific progress, risk, and development: Explaining attitudes toward science cross-nationally
Price, A. M., & Peterson, L. (2015) · International Sociology · doi:10.1177/0268580915614593 · Cited by 34
“For example, the anti-vaccination movement probably could not have become widespread without the easy spread of distorted information online (Kata, 2012).”
BackgroundÜniversite Çalışanlarında Siberkondria Düzeyleri ve İlişkili Faktörlerin İncelenmesi
Altındiş, S., İnci, M. B., Aslan, F. G., & Altındiş, M. (2018) · Sakarya Medical Journal · doi:10.31832/smj.423652 · Cited by 33
Fake news and science denier attacks on vaccines. What can you do?
MacDonald, N. E. (2020) · Canada Communicable Disease Report · doi:10.14745/ccdr.v46i1112a11 · Cited by 33
D’Errico, S., Turillazzi, E., Zanon, M., Viola, R. V., Frati, P., & Fineschi, V. (2021) · Vaccines · doi:10.3390/vaccines9020110 · Cited by 33
“An analysis of YouTube immunization videos found that 32% opposed vaccination, and that these had higher ratings and more views than pro-vaccine videos [28].”
BackgroundDu, F., Chantler, T., Francis, M. R., Sun, F. Y., Zhang, X., Han, K., Rodewald, L. E., Yu, H., Tu, S., Larson, H. J., et al. (2021) · Vaccines · doi:10.3390/vaccines9030201 · Cited by 34
Infodemia, desinformação e vacinas
Massarani, L., Leal, T., Waltz, I., & Medeiros, A. (2021) · Liinc em Revista · doi:10.18617/liinc.v17i1.5689 · Cited by 47
Buller, D. B., Pagoto, S., Henry, K. L., Berteletti, J., Walkosz, B. J., Bibeau, J., Baker, K., Hillhouse, J., & Arroyo, K. M. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.683034 · Cited by 34
Roy, D. N., Huda, M. N., & Azam, M. S. (2022) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2022.2064685 · Cited by 32
“It is worth mentioning that hesitation in getting a vaccine lead to a massive outbreak of disease previously,(14) since vaccine always remains a dilemma among a large group of people.(15) Vaccine hesitancy has been identified as one of the top ten threats for global health(16) and vaccine hesitancy is considered as a…”
BackgroundDurmaz, N., SUMAN, M., Ersoy, M. Ö., & Örün, E. (2022) · Vaccines · doi:10.3390/vaccines10111958 · Cited by 37
“The Internet and social media are very active in spreading information that questions the safety and efficacy of vaccines, and it is difficult to change the negative attitudes of people exposed to false information about vaccines [4,5].”
BackgroundVaccine resistances reconsidered: Vaccine skeptics and the Jenny McCarthy effect
Gottlieb, S. D. (2015) · BioSocieties · doi:10.1057/biosoc.2015.30 · Cited by 33
Vaccine Perceptions Among Oregon Health Care Providers
Bean, S. J., & Catania, J. A. (2013) · Qualitative Health Research · doi:10.1177/1049732313501891 · Cited by 35
Hopes, hesitancy and the risky business of vaccine development
Calnan, M., & Douglass, T. (2020) · Health Risk & Society · doi:10.1080/13698575.2020.1846687 · Cited by 33
“There is certainly evidence that vaccine-hesitant parents utilise online information more so than those parents who have had their children vaccinated (Kata, 2012).”
BackgroundThe effectiveness of refutation text in confronting scientific misconceptions: A meta-analysis
Danielson, R., Jacobson, N. G., Patall, E. A., Sinatra, G. M., Adesope, O., Kennedy, A. A. U., Bhat, B. H., Ramazan, O., Akinrotimi, B., Nketah, G., et al. (2024) · Educational Psychologist · doi:10.1080/00461520.2024.2365628 · Cited by 36
“…a smart phone and internet connection who is searching for cutting-edge research on climate change must now contend with an information landscape that can be inaccurate at best (Allcott et al., 2019; Kata, 2012; Kortum et al., 2008; Scheufele & Krause, 2019) and malicious at worst (Fisher, 2022).”
Gesser‐Edelsburg, A., Shir-Raz, Y., Walter, N., Mordini, E., Dimitriou, D., James, J. J., & Green, M. S. (2015) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2015.31 · Cited by 32
Immunotherapy for Infectious Diseases: Past, Present, and Future
Manohar, A., Ahuja, J., & Crane, J. K. (2015) · Immunological Investigations · doi:10.3109/08820139.2015.1093914 · Cited by 35
“Immunization against infectious diseases is one of the most cost-effective health measures ever invented (Kata, 2010, 2012), with far more benefit to the individual and to society than most of the other health care interventions we offer patients, such as care for diabetes or heart disease or…”
BackgroundElkin, L. E., Pullon, S. R. H., & Stubbe, M. H. (2020) · Vaccine · doi:10.1016/j.vaccine.2020.02.041 · Cited by 34
The Space Between: Nature and Machine Heuristics in Evaluations of Organisms, Cyborgs, and Robots
Banks, J., Edwards, A. P., & Westerman, D. (2021) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2020.0165 · Cited by 40
“…B is bad. or A is natural, B is unnatural (or not natural); therefore, A is better than B. NH is seldom empirically tested, instead more frequently invoked as explanation for attitudes related to sex roles, 18 reproductive rights, 19 antivaccination activism, 20 and genetically modified animals.”
Vaccine discourse in white nationalist online communication: A mixed-methods computational approach
Walter, D., Ophir, Y., Lokmanoglu, A. D., & Pruden, M. L. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114859 · Cited by 32
The Influence of Media Trust and Normative Role Expectations on the Credibility of Fact Checkers
Primig, F. (2022) · Journalism Practice · doi:10.1080/17512786.2022.2080102 · Cited by 37
“Nevertheless, are epistemic authorities such as epidemiologists or jour-nalists as trust-intermediaries (Neuberger et al. 2019, 177) essential for topics such as Covid-19 or vaccination that exceed individual capacity (see e.g., Kata 2012; Navin 2013).”
Background
Metadata
- Authors
- Kata, A.
- Affiliations
- McMaster University (CA)
- Corresponding author
- Kata, Anna
- ORCID
- Kata, Anna
- Venue
- Vaccine
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 30
- Issue
- 25
- Pages
- 3778-3789
- ISSN
- 0264-410X (ISSN-L)
- OpenAlex
- W2062321610
- Cited by
- 1,094
- References
- 83
- Citations by year
- 2026: 36 · 2025: 65 · 2024: 77 · 2023: 111 · 2022: 124 · 2021: 151 · 2020: 158 · 2019: 81 · 2018: 73 · 2017: 58 · 2016: 60 · 2015: 47 · 2014: 20 · 2013: 24 · 2012: 9
- FWCI
- 56.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Vaccine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- anti-vaccine movement, anti-vaccine activism, Web 2.0, misinformation, vaccine hesitancy, user-generated content, science communication, online health information
- MeSH terms
- Communication, Decision Making, Humans, Health Knowledge, Attitudes, Practice, Patient Acceptance of Health Care, Vaccination, Vaccines, Health Communication, Social Media
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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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