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Using a cognitive network model of moral and social beliefs to explain belief change.

ABSTRACT: Skepticism toward childhood vaccines and genetically modified food has grown despite scientific evidence of their safety. Beliefs about scientific issues are difficult to change because they are entrenched within many interrelated moral concerns and beliefs about what others think. We propose a cognitive network model that estimates network ties between all interrelated beliefs to calculate the overall dissonance and interdependence. Using a probabilistic nationally representative longitudinal study, we test whether our model can be used to predict belief change and find support for our model's predictions: High network dissonance predicts subsequent belief change, and people are driven toward lower network dissonance. We show the advantages of measuring dissonance using the belief network structure compared to traditional measures. This study is the first to combine a unifying predictive model with an experimental intervention and to shed light on the dynamics of dissonance reduction leading to belief change.

SUBMITTER: Dalege J

PROVIDER: S-EPMC9390990 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Using a cognitive network model of moral and social beliefs to explain belief change.

Dalege Jonas J van der Does Tamara T

Science advances 20220819 33

Skepticism toward childhood vaccines and genetically modified food has grown despite scientific evidence of their safety. Beliefs about scientific issues are difficult to change because they are entrenched within many interrelated moral concerns and beliefs about what others think. We propose a cognitive network model that estimates network ties between all interrelated beliefs to calculate the overall dissonance and interdependence. Using a probabilistic nationally representative longitudinal s ...[more]

PMID: 35984886

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Project description:BackgroundWorldwide the Covid-19 pandemic resulted in drastic behavioral measures and lockdowns. Vaccination is widely regarded as the true and only global exit strategy; however, a high vaccination coverage is needed to contain the spread of the virus. Vaccination rates among young people are currently lacking. We therefore studied the experienced motivations and barriers regarding vaccination in young people with the use of the health belief model.MethodsWe conducted a correlational study, based on a convenience sample. At the vaccination location, directly after vaccination, 194participants(16-30 years) who decided to get vaccinated at a pop-up location several weeks after receiving a formal invitation, filled out a questionnaire regarding their attitudes towards vaccination based on concepts defined in the health belief model. We used these concepts to predict vaccination hesitancy.ResultsYounger participants and participants with lower educational levels report higher levels of hesitancy regarding vaccination (low education level = 38.9%, high education level = 25.4%). Perceived severity (Mhesitancy = .23, Mno hesitancy = .37) and susceptibility (Mhesitancy = .38, Mno hesitancy = .69) were not associated with hesitancy. Health related and idealistic benefits of vaccination were negatively associated with experienced hesitancy (Mhesitancy = .68, Mno hesitancy = -.37), while individualistic and practical benefits were not associated with hesitancy (Mhesitancy = -.09, Mno hesitancy = .05). Practical barriers were not associated with hesitancy (Mhesitancy = .05, Mno hesitancy = -.01), while fear related barriers were strongly associated with hesitancy (Mhesitancy = -.60, Mno hesitancy = .29).ConclusionsHealth related, and idealistic beliefs are negatively associated with experienced hesitancy about vaccination, while fear related barriers is positively associated with experienced hesitancy. Future interventions should focus on these considerations, since they can facilitate or stand in the way of vaccination in young people who are doubting vaccination, while not principally opposed to it.

Dataset Information

Using a cognitive network model of moral and social beliefs to explain belief change.

Publications

Using a cognitive network model of moral and social beliefs to explain belief change.

Similar Datasets

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