Evidence map›Paper›PMID 34300005›Full record

ArticleInternational journal of environmental research and public health2021

Development of a Codebook of Online Anti-Vaccination Rhetoric to Manage COVID-19 Vaccine Misinformation.

Brian Hughes, Cynthia Miller-Idriss, Rachael Piltch-Loeb, Beth Goldberg, Kesa White, Meili Criezis, Elena Savoia

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

7 authors.

Brian HughesPolarization and Extremism Research and Innovation Lab (PERIL), American University, Washington, DC 20016, USA.ORCID 0000-0002-7069-4066
Cynthia Miller-IdrissPolarization and Extremism Research and Innovation Lab (PERIL), American University, Washington, DC 20016, USA.ORCID 0000-0002-2849-0799
Rachael Piltch-LoebEmergency Preparedness Research Evaluation & Practice (EPREP) Program, Division of Policy Translation & Leadership Development, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Beth GoldbergJigsaw, Google LLC, New York, NY 10011, USA.
Kesa WhitePolarization and Extremism Research and Innovation Lab (PERIL), American University, Washington, DC 20016, USA.
Meili CriezisPolarization and Extremism Research and Innovation Lab (PERIL), American University, Washington, DC 20016, USA.
Elena SavoiaEmergency Preparedness Research Evaluation & Practice (EPREP) Program, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Funding

Google 702020
6 · The paper itself

Abstract

Vaccine hesitancy (delay in obtaining a vaccine, despite availability) represents a significant hurdle to managing the COVID-19 pandemic. Vaccine hesitancy is in part related to the prevalence of anti-vaccine misinformation and disinformation, which are spread through social media and user-generated content platforms. This study uses qualitative coding methodology to identify salient narratives and rhetorical styles common to anti-vaccine and COVID-denialist media. It organizes these narratives and rhetorics according to theme, imagined antagonist, and frequency. Most frequent were narratives centered on "corrupt elites" and rhetorics appealing to the vulnerability of children. The identification of these narratives and rhetorics may assist in developing effective public health messaging campaigns, since narrative and emotion have demonstrated persuasive effectiveness in other public health communication settings.

Indexed as

COVID-19Social MediaVaccinesChildCommunicationCOVID-19 VaccinesHumansPandemicsSARS-CoV-2VaccinationCOVID-19 VaccinesVaccinesanti-vaxattitudinal inoculationCOVID-19disinformationmisinformationpublic health communicationvaccine hesitancy

Identifiers

PMID34300005
PMCPMC8304769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.