Evidence map›Paper›PMID 35370015›Full record

ArticleVaccine2022

Hesitancy towards COVID-19 vaccines on social media in Canada.

Bobbi Rotolo, Eve Dubé, Maryline Vivion, Shannon E MacDonald, Samantha B Meyer

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
9.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Bobbi RotoloSchool of Public Health Sciences, University of Waterloo, Canada.
Eve DubéInstitut national de santé publique du Québec, Centre de recherche du CHU de Québec, Université Laval, Québec, Canada.
Maryline VivionInstitut national de santé publique du Québec, Centre de recherche du CHU de Québec, Université Laval, Québec, Canada.
Shannon E MacDonaldFaculty of Nursing, University of Alberta, Canada.
Samantha B MeyerSchool of Public Health Sciences, University of Waterloo, Canada. Electronic address: Samantha.meyer@uwaterloo.ca.
Institut National de Santé Publique du Québec · CAUniversity of Waterloo · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To effectively end the pandemic, the acceptance of effective vaccines against COVID-19 is critical. Comments posted in online platforms act as a barometer for understanding public concerns regarding vaccination and can be used to inform communication strategies for the 'moveable middle'. The aim of this exploratory study was to identify online dialogue regarding the nature of vaccine hesitancy related to COVID-19 vaccine(s). We analyzed user comment threads in response to news reports regarding COVID-19 vaccines on the Canadian Broadcasting Corporation national news website (with as many as 9.4 million unique visitors per day). User comments (n = 1145) were extracted from 19 articles between March 2020 and June 15th, 2020. Comments were then coded inductively for content to establish a coding framework that was subsequently applied to the dataset. Our data provide empirical support for misrepresentation as a form of misinformation and further demonstrate the utility of social media content as data for social research that informs public health communication materials. The data point to the need for, and value of, rapid communication interventions to foster vaccine acceptance. False information will continue to create challenges for delivering COVID-19 vaccines. Communication strategies to get ahead of the pace of misinformation are critical, particularly in light of boosters and the possibility of COVID-19 vaccination on an annual basis.

Indexed as

COVID-19Social MediaVaccinesCanadaCOVID-19 VaccinesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesVaccinesCOVID-19MisinformationMisrepresentationSocial mediaVaccine hesitancy

Identifiers

PMID35370015
PMCPMC8921001
OpenAlexW4221106178

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.