Community-oriented Motivational Interviewing (MI): A novel framework extending MI to address COVID-19 vaccine misinformation in online social media platforms.

Bystander Digital information environment Identity process theory Infodemiology Motivational interviewing Psychological reactance Vaccine hesitancy

Journal

Computers in human behavior
ISSN: 0747-5632
Titre abrégé: Comput Human Behav
Pays: United States
ID NLM: 8510313

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 22 07 2022
revised: 30 11 2022
accepted: 11 12 2022
pubmed: 20 12 2022
medline: 20 12 2022
entrez: 19 12 2022
Statut: ppublish

Résumé

Researchers have linked circulating misinformation in online platforms to low COVID-19 vaccine uptake. Two disparate literatures provide relevant initial guidance to address the problem. Motivational Interviewing (MI) effectively reduces vaccine hesitancy in clinical environments; meanwhile, social scientists note inoculation, rebuttal, and appeals to accuracy are persuasive in digital contexts. A tension is inherent in these approaches. MI in digital forums may induce an 'illusory truth effect,' wherein falsehoods appear more accurate through repetition. Yet, rebutting misinformation directly may elicit backfire or reactance effects, motivating some to amplify their presentation of misinformation. Building on Identity Process Theory, we propose a theoretical framework for conducting MI-based infodemiology interventions among digital communities that conceptualizes the community in toto (rather than one specific person) as the unit of focus. Case examples from interventions on public Facebook posts illustrate three processes unique to such interventions: 1) Navigating tension between addressing commenters and "bystanders"; 2) Activating pro-vaccine bystanders; and 3) Reframing uncertainty or information individuals might find concerning or threatening according to implied collective values. This paper suggests community-oriented MI can maximize persuasive effects on bystanders while minimizing potential reactance from those with committed beliefs, thereby guiding community-oriented public health messaging interventions enacted in digital environments.

Identifiants

pubmed: 36531901
doi: 10.1016/j.chb.2022.107609
pii: S0747-5632(22)00429-0
pmc: PMC9745298
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107609

Informations de copyright

© 2022 The Authors.

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Auteurs

David Scales (D)

Section of Hospital Medicine, Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Critica, Bronx, NY, USA.

Jack M Gorman (JM)

Critica, Bronx, NY, USA.

Peter DiCaprio (P)

Critica, Bronx, NY, USA.

Lindsay Hurth (L)

Critica, Bronx, NY, USA.

Malavika Radhakrishnan (M)

Critica, Bronx, NY, USA.

Savannah Windham (S)

Critica, Bronx, NY, USA.

Azubuike Akunne (A)

Critica, Bronx, NY, USA.

Julia Florman (J)

Critica, Bronx, NY, USA.

Lindsey Leininger (L)

Tuck School of Business, Dartmouth College, Hanover, NH, USA.

Tyrel J Starks (TJ)

Department of Psychology, Hunter College of the City University of New York, New York, NY, USA.
Doctoral Program in Health Psychology and Clinical Science, Graduate Center of the City University of New York, New York, NY, USA.

Classifications MeSH