Trust in Scientists and Conspiracy Beliefs Predict Online Misinformation Susceptibility and Fake News Detection: A Cross-Sectional Study in Greece

Online misinformation has grown significantly with the widespread use of the internet and the ease of sharing content through social media, often without rigorous fact-checking or scientific validation. In this context, we examined the effect of trust in scientists and conspiracy beliefs on online misinformation susceptibility and fake news detection. A cross-sectional study was carried out. We used valid questionnaires to collect our data. Trust in scientists was assessed using the Trust in Scientists Scale. Conspiracy beliefs were measured using the Conspiracy Mentality Questionnaire. Participants’ susceptibility to online misinformation was evaluated using the Online Misinformation Susceptibility Scale. Our multivariable analysis identified that lower trust in scientists is associated with higher online misinformation susceptibility. Participants who believed in conspiracy behaviors showed also higher levels of misinformation susceptibility. Our multivariable model showed that participants who believe in conspiracy beliefs had a lower ability to detect fake news. We found a positive association between trust in sciences and fake news detection. We identified a negative association between interest in politics and fake news detection. Our findings showed associations between trust in scientists, conspiracy beliefs, online misinformation susceptibility and fake news detection. Identification of predictors of these outcomes is crucial to define high-risk groups and develop appropriate interventions to confront these issues.