The Effect of Ingroup vs. Outgroup Members' Behavior on Charity Preference: A Drift-Diffusion Model Approach.

Providing potential donors with information about the behavior of others (i.e., social information) is an increasingly used strategy to nudge prosocial decision-making. In the present study, we investigated the effect of ingroup vs. outgroup information on participants' charity preferences by applying a Drift Diffusion Model (DDM) approach. In a joint evaluation scenario, we manipulated different levels of ingroup/outgroup preference ratios for two charities within subjects. Every subject was presented with three stimulus types (i.e., high, medium, and low ingroup ratio) randomized in 294 trials divided into six blocks. We expected that for stimuli with a high ingroup/outgroup ratio, participants should more often and faster decide for the ingroup's most favored charity. We expected that the speed of evidence accumulation will be higher the larger the ingroup/outgroup ratio. Additionally, we investigated whether variations in model parameters can explain individual differences in participants' behaviors. Our results showed that people generally followed ingroup members' preferences when deciding for a charity. However, on finding an unexpected pattern in our results, we conducted post-hoc analyses which revealed two different behavioral strategies used by participants. Based on participants' decisions, we classified them into "equality driven" individuals who preferred stimuli with the least difference between ingroup and outgroup percentages or "ingroup driven" individuals who favored stimuli with the highest ingroup/outgroup ratio. Results are discussed in line with relevant literature, and implications for practitioners are given.

Look Behind Me! Highly Informative Picture Backgrounds Increase Stated Generosity Through Perceived Tangibility, Impact, and Warm Glow.

In this study, we investigated whether background information of a visual charity appeal can influence people's motivation to donate and the hypothetical amount donated. Specifically, participants were presented with a charity appeal to help a local hospital respond to the Coronavirus Disease-19 (COVID-19) emergency depicting a man sitting on a bed in a hospital room. The number of visual details (i.e., medical equipment) depicted in the background was manipulated according to three conditions: (1) "High information" condition (i.e., a room full of medical equipment), (2) "low information" condition (i.e., room with few pieces of medical equipment), and (3) "no information" condition (i.e., non-contextual background). We investigated whether the number of visual background details would have increased the tangibility of the cause measured as the hospital's adequate preparedness to deal with the COVID-19 emergency and severity of the patient's medical conditions. We also investigated whether increased tangibility, elicited by a higher amount of background information, would heighten participants' perceived impact of their donation and warm glow, which in turn would have led to increased motivation to donate and the amount donated. We found no significant direct effect of condition on the donated amount. However, path models revealed that more background information positively influenced participants' motivation to donate and the amount donated indirectly through increased tangibility, impact, and warm glow. Finally, we showed that a higher risk perception of COVID-19 was associated with higher donations. Results are discussed in line with relevant literature.

Worry, Perceived Threat and Media Communication as Predictors of Self-Protective Behaviors During the COVID-19 Outbreak in Europe.

Efforts to contain the spread of the coronavirus emphasize the central role of citizens' compliance with self-protective behaviors. Understanding the processes underlying the decision to self-protect is, therefore, essential for effective risk communication during the COVID-19 pandemic. In the present study, we investigate the determinants of perceived threat and engagement in self-protective measures in the United Kingdom, Italy, and Austria during the first wave of the pandemic. The type of disease (coronavirus vs. seasonal flu) and the type of numerical information regarding the disease (number of recovered vs. number of dead) were manipulated. Participants' cognitive and emotional risk assessment as well as self-reported engagement in protective behaviors were measured. Results show that worry was the best predictor of perceived threat in all countries. Moreover, a path analysis revealed that worry and perceived threat serially mediated the effect of type of disease on engagement in self-protective behaviors. The numerical framing manipulation did not significantly impact behavior but had a direct effect on worry and an indirect effect on perceived threat. These results are in line with theoretical accounts that identify emotions as a central determinant for risk perception. Moreover, our findings also suggest that effective risk communication during the COVID-19 pandemic should not stress comparisons to other, well-known viral diseases, as this can ultimately reduce self-protective behaviors.