Counterfactual thinking as a prebunking strategy to contrast misinformation on COVID-19

Bertolotti, Mauro; Catellani, Patrizia

doi:10.1016/j.jesp.2022.104404

Cited by 11 publications

(6 citation statements)

References 62 publications

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“…Finally, Bertolotti and Catellani (2023) tested the effect of a different intervention approach: counterfactual thinking. In two experiments, they found that mental simulations of alternative (nonfactual) realities reduce belief in conspiracy theories among people high in conspiracy mentality.…”

Section: Interventionsmentioning

confidence: 99%

Engaging with conspiracy theories: Causes and consequences

Sassenberg

Bertin

Douglas

et al. 2023

Journal of Experimental Social Psychology

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Section: Interventionsmentioning

confidence: 99%

Engaging with conspiracy theories: Causes and consequences

Sassenberg

Bertin

Douglas

et al. 2023

Journal of Experimental Social Psychology

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“…The development of new strategies to prevent the dissemination of misinformation and the conditions under which these strategies may be successful are consistently highlighted in current research (Bertolotti & Catellani, 2023). Preventative strategies such as inoculation (Amazeen et al, 2022) and prebunking (Quevedo-Redondo et al, 2022) are often utilized.…”

Section: Resultados Empíricosmentioning

confidence: 99%

Gamification as a methodology to enhance analytical and sustainable engagement on Social Media

Ruiz

2023

Preprint

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This study aims to determine whether positioning students as developers of educational software enhances their digital literacy, presenting an avenue to cultivate critical online content consumption and, in turn, combat misinformation. A total of 107 students, prospective educators in early childhood, primary, and social education contexts, participated in the research. Our initial hypothesis posited that introducing a technology training program would significantly bolster the ability to discern hoaxes and falsehoods online. However, a chi-square test significance result of 0.607 suggests acceptance of the null hypothesis. The findings underscore a notable deficiency in students' ability to solve practical problems, evident from the lack of responses to items categorized under intuition and practical reasoning. Nonetheless, according to the standards set by DigiComp, students can achieve a commendable proficiency in digital competency, particularly in evaluating digital data and information, as well as in creating digital content.

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“…This suggests that debunking may not be as effective in addressing anti-vaccine sentiments, given the limited interaction of conspiracy users with these debunking posts [ 47 ]. However, new strategies such as reactive debunking and particularly preemptive information distortion strategies offers significant promise [ 48 , 49 , 50 , 51 , 52 , 53 ]. Alternative measures such as tighter social and mass media regulation can be considered especially in the context of misinformation.…”

Section: Discussionmentioning

confidence: 99%

Examining the Negative Sentiments Related to Influenza Vaccination from 2017 to 2022: An Unsupervised Deep Learning Analysis of 261,613 Twitter Posts

Lee

Ng³

et al. 2023

Vaccines

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Several countries are witnessing significant increases in influenza cases and severity. Despite the availability, effectiveness and safety of influenza vaccination, vaccination coverage remains suboptimal globally. In this study, we examined the prevailing negative sentiments related to influenza vaccination via a deep learning analysis of public Twitter posts over the past five years. We extracted original tweets containing the terms ‘flu jab’, ‘#flujab’, ‘flu vaccine’, ‘#fluvaccine’, ‘influenza vaccine’, ‘#influenzavaccine’, ‘influenza jab’, or ‘#influenzajab’, and posted in English from 1 January 2017 to 1 November 2022. We then identified tweets with negative sentiment from individuals, and this was followed by topic modelling using machine learning models and qualitative thematic analysis performed independently by the study investigators. A total of 261,613 tweets were analyzed. Topic modelling and thematic analysis produced five topics grouped under two major themes: (1) criticisms of governmental policies related to influenza vaccination and (2) misinformation related to influenza vaccination. A significant majority of the tweets were centered around perceived influenza vaccine mandates or coercion to vaccinate. Our analysis of temporal trends also showed an increase in the prevalence of negative sentiments related to influenza vaccination from the year 2020 onwards, which possibly coincides with misinformation related to COVID-19 policies and vaccination. There was a typology of misperceptions and misinformation underlying the negative sentiments related to influenza vaccination. Public health communications should be mindful of these findings.

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Counterfactual thinking as a prebunking strategy to contrast misinformation on COVID-19

Cited by 11 publications

References 62 publications

Engaging with conspiracy theories: Causes and consequences

Engaging with conspiracy theories: Causes and consequences

Gamification as a methodology to enhance analytical and sustainable engagement on Social Media

Examining the Negative Sentiments Related to Influenza Vaccination from 2017 to 2022: An Unsupervised Deep Learning Analysis of 261,613 Twitter Posts

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