Over the last ten years, Oosterhof and Todorov's valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgments of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov's methodology across 11 world regions, 41 countries, and 11,570 participants. When we used Oosterhof and Todorov's original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods, correlate and rotate the dimension reduction solution.

It is not clear whether there is an association between adverse reactions and immune response after vaccination. Seven hundred and thirty-five vaccinees from our University Medical Center vaccination clinic provided information about sex, age and adverse reactions after first and second vaccination with BNT162b2. Adverse reactions were categorized into three groups: no or minor on the injection side, moderate (not further classified) and severe—defined as any symptom(s) resulting in sick leave. We chose 38 vaccinees with the most severe adverse reactions and compared their humoral and T-cell-mediated immune responses after second vaccination with those of 38 sex and age matched controls without or only minor injection-side related adverse reactions. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) anti-receptor binding domain (RBD) IgG titers were detectable in all participants (median 5528; range 958–26,285). Men with severe adverse reactions had 1.5-fold higher median SARS-CoV-2 RBD IgG titers compared to men without adverse reactions (median 7406 versus 4793; p < 0.001). Similarly; neutralization activity was significantly higher in men with severe adverse reactions (half maximal inhibitory concentrations (IC50) median 769 versus 485; p < 0.001). Reactogenicity did not influence humoral immune response in women nor T-cell-mediated immune response in any sex. To conclude; adverse reactions after vaccination with BNT162b2 do influence humoral immune response yet only in men and are not a prerequisite for a robust antibody response.

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Corrupted collaboration, that is, gaining personal profits through collaborative immoral acts, is a common and destructive phenomenon in societies. Despite the societal relevance of corrupted collaboration, the role of one’s own as well as one’s partner’s characteristics has hitherto remained unexplained. In the present study, we test these roles using the sequential dyadic die-rolling paradigm ( N = 499 across five conditions). Our results indicate that interacting with a fully dishonest partner leads to higher cheating rates than interacting with a fully honest partner, although being paired with a fully honest partner does not eliminate dishonesty completely. Furthermore, we found that the basic personality dimension of Honesty–Humility is consistently negatively related to collaborative dishonesty irrespective of whether participants interact with fully honest or fully dishonest partners. Overall, our investigation provides new insights on the role of interaction partner’s characteristics in settings allowing for corrupted collaboration.

Over the last ten years, Oosterhof and Todorov’s valence-dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgments of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov’s methodology across 11 world regions, 41 countries, and 11,570 participants. When we used Oosterhof and Todorov’s original analysis strategy, the valence-dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions we observed much less generalization. Collectively, these results suggest that, while the valence-dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods, correlate and rotate the dimension reduction solution.

The research Ethics committee of the Faculty of Pedagogy and Psychology (ELTE) granted a central permission (permission nr: 2019/47). Many other labs obtained IRB approval too, which approvals can be found here: https://osf.io/j6kte/ . Participants had to give informed consent before starting the experiment. Only participants recruited through Mturk or Prolific received monetary compensation.Note that full information on the approval of the study protocol must also be provided in the manuscript.

The Coronavirus Disease 2019 (COVID-19) has strongly affected individuals and societies worldwide. In this review and meta-analysis, we investigated how aversive personality traits—i.e., relatively stable antisocial personality characteristics—related to how individuals perceived, evaluated, and responded to the COVID-19 pandemic. Across 34 studies with overall 26,780 participants, we found that people with higher scores in aversive personality traits were less likely to perceive guidelines and restrictions to curb the spread of the virus as protective (p̂ = -.11), to engage in health behaviors related to COVID-19 (p̂ = -.16), and to engage in non-health related prosocial behavior related to COVID-19 (p̂ = -.14). We found no consistent relation between aversive personality and negative affect regarding the pandemic. The results thus indicate the importance of aversive personality traits in understanding individual differences with regard to COVID-19.

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