Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar was found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-negligible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Published versio

National identity predicts public health support during a global pandemic

Understanding collective behaviour is an important aspect of managing the pandemic response. Here the authors show in a large global study that participants that reported identifying more strongly with their nation reported greater engagement in public health behaviours and support for public health policies in the context of the pandemic.Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics

Imagining intergroup contact is more cognitively difficult for people higher in intergroup anxiety but this does not detract from its effectiveness

Imagined intergroup contact (Crisp & Turner, 2009) is a new indirect contact strategy for promoting tolerance and more positive intergroup attitudes. We asked whether the positive effects of imagined contact are contingent upon characteristics that define the experience of intergroup relations. Specifically, we tested whether precontact intergroup anxiety makes imagining contact more cognitively effortful, and if it does, whether this detracts from its effectiveness. In two studies participants were asked to either imagine contact with an outgroup member or a control scene. We found that imagining contact counteracted the negative impact of intergroup anxiety on outgroup communicative behavior. Furthermore, performance on an ostensibly unrelated Stroop task revealed that this compensatory benefit requires cognitive resources proportional to the level of precontact anxiety. We conclude that the detrimental impacts of intergroup anxiety can be assuaged by imagining contact, but that doing so requires the allocation of attentional resources proportional to the positivity of preintervention contact experiences. © The Author(s) 2012

"Treating" prejudice: an exposure-therapy approach to reducing negative reactions toward stigmatized groups.

One of the ways in which therapists treat anxiety disorders is to expose patients to a fear-evoking stimulus within a safe environment before encouraging more positive stimulus-related thoughts. In the study reported here, we adapted these psychotherapeutic principles of exposure therapy to test the hypothesis that imagining a positive encounter with a member of a stigmatized group would be more likely to promote positive perceptions when it was preceded by an imagined negative encounter. The results of three experiments targeting a range of stigmatized groups (adults with schizophrenia, gay men, and British Muslims) supported this hypothesis. Compared with purely positive interventions, interventions in which a single negative encounter was imagined just prior to imagining a positive encounter resulted in significantly reduced prejudice. Furthermore, reduced anxiety uniquely derived from the mixed-valence imagery task statistically explained enhanced intentions to engage positively with the previously stigmatized group in the future