The explanation-polarisation model: Pseudoscience spreads through explanatory satisfaction and group polarisation

This article presents an integrative model for the endorsement of pseudoscience: the explanation-polarisation model. It is based on a combination of perceived explanatory satisfaction and group polarisation, offering a perspective different from the classical confusion-based conception, in which pseudoscientific beliefs would be accepted through a lack of distinction between science and science mimicry. First, I discuss the confusion-based account in the light of current evidence, pointing out some of its explanatory shortcomings. Second, I develop the explanation-polarisation model, showing its explanatory power in connection with recent research outcomes in cognitive and social psychology.

Protecting consumers from fraudulent health claims: A taxonomy of psychological drivers, interventions, barriers, and treatments

OBJECTIVE

Fraudulent health claims-false or misleading claims used to promote health remedies that are untested, ineffective, and often harmful-cause extensive and persistent harm to consumers. To address this problem, novel interventions are needed that address the underlying cognitive mechanisms that render consumers susceptible to fraudulent health claims. However, there is currently no single framework of relevant psychological insights to design interventions for this purpose. The current review aims to address this gap.

METHOD

An integrative theoretical review was conducted across several relevant disciplines including criminology; behavioural economics; and cognitive, health, and social psychology.

RESULTS

The current review presents a novel taxonomy that aims to serve as an agenda for future research to systematically design and compare interventions based on empirical evidence. Specifically, this taxonomy identifies (i) the psychological drivers that make consumers susceptible to fraudulent health claims, (ii) the psychological barriers that may prevent successful application of interventions, and (iii) proposes evidence-informed treatments to overcome those barriers.

CONCLUSIONS

The resulting framework integrates behavioural insights from several hitherto distinct disciplines and structures promising interventions according to five underlying psychological drivers: Visceral influence, Affect, Nescience, Misinformation, and Norms (VANMaN). The taxonomy presents an integrative and accessible theoretical framework for designing evidence-informed interventions to protect consumers from fraudulent health claims. This review has broad implications for numerous topical issues including the design and evaluation of anti-fraud campaigns, efforts to address the growing problem of health-related misinformation, and for countering the polarisation of politically sensitive health issues.