Our study investigates several antecedents and consequences of negative emotional reactions to the COVID-19 pandemic in a cross-national sample of 737 participants. Our results show that COVID-19 anxiety and negative mood are positively predicted by death anxiety and the use in communication of general COVID-19 information. Death reflection reduces negative mood in relation to COVID-19 and attenuates the positive association between death anxiety on the one hand and the negative mood and anxiety in relation to COVID-19 on the other hand. The use of humoristic information about COVID-19 reduces anxiety and social distance towards people infected with COVID-19 and also attenuates the positive association between the use in communication of general COVID-19 information and negative mood in relation to COVID-19. Our results also show that the association between death anxiety and social distance towards those infected with COVID-19 is mediated by anxiety and negative mood in relation to COVID-19. Finally, the association between the use of COVID-19 information in interpersonal communication and social distance is mediated by anxiety and negative mood in relation to COVID-19. The study thus reveals specific insights for tailored interventions to reduce negativity towards people infected with COVID-19.

People are constantly bombarded with information they could use to adjust their beliefs. Here, we are interested in exploring the impact of social norms on belief update. To investigate, we recruited a sample of 200 Princeton University students, who first rated the accuracy of a set of statements (pre-test). They were then provided with relevant evidence either in favor or against the initial statements, and they were asked to rate how convincing each piece of evidence was. The evidence was randomly assigned to appear as normative or non-normative, and also randomly assigned to appear as anecdotal or scientific. Finally, participants rated the accuracy of the initial set of statements again (post-test). The results show that participants changed their beliefs more in line with the evidence, when the evidence was scientific compared to when it was anecdotal. More importantly to our primary inquiry, the results show that participants changed their beliefs more in line with the evidence when the evidence was portrayed as normative compared to when the evidence was portrayed as non-normative, pointing to the impactful influence social norms have on beliefs. Both effects were mediated by participants’ subjective evaluation of the convincingness of the evidence, indicating the mechanism by which evidence is selectively incorporated into belief systems.

This study explores the effects of group size, group composition, and group argument frequency on group cognitive complexity (GCC). We evaluated a sample of 509 students organized into 106 groups who participated in a group cognitive mapping activity. As hypothesized, we found that group argumentation has an inverted U-shaped association with GCC. Group member familiarity did not moderate this relationship. We also found that task-related arguments mediate the relationships between group size and gender diversity on one hand, and GCC, on the other. Moreover, we found that optimal group-level cognitive benefits were observed in group discussions in which the ratio between task-related and nontask-related group arguments was 3 to 1. The discussion focuses on the practical and theoretical implications of these findings.

Our study evaluates the role of exposure to COVID-19 messaging in negativity towards COVID-19 and the intentions to engage in protective behaviors. Building on the theory of planned behavior (TPB), we derive a mediation model and test it in a sample of 737 participants (556 Romanians and 181 Kazakhs). The exposure to general information concerning COVID-19 positively predicts negative attitudes, negative emotions and the emergence of subjective norms in relation to COVID-19, as well as the likelihood of engaging in protective behavioral intentions. The exposure to humoristic communication, however, diluted the positive association between exposure to general information and negative attitudes, as well as negative emotions. The results support the overall predictions of the TPB and report positive associations between negative attitudes towards COVID-19, subjective norms and behavioral control on the one hand, and protective behavioral intentions on the other. Negative emotions significantly predict the likelihood of engaging in protective behaviors. Our results also show that older respondents tend to develop more negative attitudes towards COVID-19, yet they do not report stronger intentions to engage in protective behaviors than younger respondents. An important emergent result shows that time lapse seems to increase negativity towards COVID-19, yet it does not directly increase the likelihood of engaging in protective behaviors. Implications for public health communication related to COVID-19 are discussed.

Purpose The purpose of this paper is to examine the literature on the antecedents and consequences of group cognitive complexity (GCC) and integrate the empirical work by using the composition/compilation framework of emergence and the input-mediator-output-input (I-M-O-I) model of team effectiveness. Design/methodology/approach Through a systematic search in extant databases, the authors found 27 empirical studies exploring the antecedents and consequences of GCC. Findings The extant literature is dominated by a compilational approach on GCC, experimental designs and a focus on exploring the antecedents of GCC (group composition and processes mostly), thus providing useful insights for organizational interventions. The work on the implications of GCC for individual or organizational level outcomes is however scant. Future endeavors could rely more on a multilevel exploration of GCC, take a developmental rather than a one-shot approach and explore the impact of new ways of working on the emergence of GCC. Originality/value The authors propose an integration of extant empirical work on GCC by using two complementary frameworks: the I-M-O-I model and the composition/compilation framework. The authors highlight the implications for practice and draw future research directions.