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We introduce a novel approach to assess habitual comparison processes, while distinguishing between different types of comparison standards. Several comparison theories (e.g., social) suggest that self-evaluations use different standards to inform self-perception and are associated with wellbeing and personality. We developed the Comparison Standards Scale for Appearance (CSS-A) to examine self-reported engagement with social, temporal, criteria-based, dimensional, and counterfactual comparisons for upward and downward standards in relation to appearance. The scale was completed by three hundred participants online alongside measures of appearance schemas, social comparison evaluations, depression, anxiety, stress, self-esteem, physical self-concept, narcissism, and perfectionism. The CSS-A was found to reliably assess individual differences in upward and downward comparison frequency and affective impact for multiple comparison standards. In line with theory, CSS-A upward comparisons were more frequent than downward comparisons and coincided with negative (versus positive) affective impact. Comparison intensity (i.e., comparison frequency × discrepancy) predicted negative and positive affective impact for upward and downward comparisons, respectively. This relationship was partially mediated by appearance concern for upward comparisons (a composite of appearance schemas and physical self-concept), yet moderated by negativity for downward comparisons (a composite of depression, anxiety, stress, and self-esteem). We offer a framework for measuring the comparison process that warrants further research on underlying comparison processes, for which the CSS(-A) and experience sampling methods should serve as useful tools.

Social media impacts people’s wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of “social media sensitivity” to understand how social media and wellbeing associations differ across people and the contexts in which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number of observations = 120,599), we examined for whom and under which circumstances social media was associated with positive and negative changes in social and affective wellbeing. Applying a combination of frequentist and Bayesian multilevel models, we found a small negative average association between social media use AND subsequent wellbeing, but the associations were heterogenous across people. People with psychologically vulnerable dispositions (e.g., those who were depressed, lonely, not satisfied with life) tended to experience heightened negative social media sensitivity in comparison to people who were not psychologically vulnerable. People also experienced heightened negative social media sensitivity when in certain types of places (e.g., in social places, in nature) and while around certain types of people (e.g., around family members, close ties), as compared to using social media in other contexts. Our results suggest that an understanding of the effects of social media on wellbeing should account for the psychological dispositions of social media users, and the physical and social contexts surrounding their use. We discuss theoretical and practical implications of social media sensitivity for scholars, policymakers, and those in the technology industry.

Body image concerns revolving around body ideals (thin ideal, muscular ideal) are widespread among women. Whereas a stronger preoccupation with ideal physical appearance is often assumed for narcissistic women, previous empirical findings have been mixed. Following a tripartite structure of agentic , antagonistic , and neurotic narcissism facets, we reexamined whether trait narcissism predicted drive for thinness and drive for muscularity . We further explored the role of importance of appearance as a mediator and moderator of the relation between narcissism and body image concerns. Latent structural equation modeling was applied to self-report data from two independent nonclinical female samples ( N Sample1 = 224, N Sample2 = 342). Results underlined the importance of distinguishing between narcissism facets: Neurotic (but not agentic or antagonistic) narcissism uniquely predicted drive for thinness and drive for muscularity. Importance of appearance mediated but did not robustly moderate these relations. Hence, neurotic narcissistic women (characterized by hypersensitivity, shame, and a fragile self-esteem) are particularly prone to body image concerns. This vulnerability seems partly driven by how much importance they ascribe to their appearance. Future work might build on these insights to further unravel the processes linking neurotic narcissism to body image concerns and how these can be targeted in practical interventions.

Our personalities (who we are) influence our social relationships (how we relate to people around us), and our social relationships influence our personalities. However, little is known about the specific processes underlying the complex interplay of personality and social relationships. According to the PERSOC framework, the identification of underlying social interaction processes promotes the understanding of how personality and social relationships are expressed, develop, and influence each other over time. The aim of the present paper is twofold: First, we outline and discuss four methodological challenges that arise when trying to empirically realize a process approach to the personality-relationship interplay. Second, we describe two data sets that are designed to meet these challenges and that are open for collaborative investigations: a laboratory-based process approach (Personality Interaction Laboratory Study; PILS) and a field-based process approach (CONNECT). We provide detailed information on the samples (two student samples; PILS: N = 311; CONNECT: N = 131), procedures (longitudinal and multimethodological), and measures (personality and social relationships, appearance and behavior, interpersonal perceptions), for which we present descriptive information, reliabilities, and intercorrelations. We summarize how these studies' designs targeted the introduced methodological challenges, discuss the advantages and limitations of laboratory- and field-based process approaches, and call for their combination. We close by outlining an open research policy, aimed at accelerated collaborative efforts to further open the process black box, ultimately leading to a better understanding of the expression, development, and complex interplay of personality and social relationships.

Whether, when, and why perceivers are able to accurately infer the personality traits of other individuals is a key topic in psychological science. Studies examining this question typically ask a number of perceivers to judge a number of targets with regard to a specific trait. The resulting data are then analyzed by averaging the judgments across perceivers or by computing the respective statistic for each single perceiver. Here, we discuss the limitations of the average-perceiver and single-perceiver approaches. Furthermore, we argue that and illustrate how cross-classified structural equation models can be used for the flexible analysis of accuracy data.

The Web 2.0 enabled collaboration at an unprecedented level. In one of the flagships of mass collaboration—Wikipedia—a large number of authors socially negotiate the world’s largest compendium of knowledge. Several guidelines in Wikipedia restrict contributions to verifiable information from reliable sources to ensure recognized knowledge. Much psychological research demonstrates, however, that individual information processing is biased. This poses the question whether individual biases translate to Wikipedia articles or whether they are prevented by its guidelines. The present research makes use of hindsight bias to examine this question. To this end, we analyzed foresight and hindsight versions of Wikipedia articles regarding a broad variety of events (Study 1). We found the majority of articles not to contain traces of hindsight bias—contrary to prior individual research. However, for a particular category of events—disasters—we found robust evidence for hindsight bias. In a lab experiment (Study 2), we then examined whether individuals’ hindsight bias is translated into articles under controlled conditions and tested whether collaborative writing—as present in Wikipedia—affects the resultant bias (vs. individual writing). Finally, we investigated the impact of biased Wikipedia articles on readers (Study 3). As predicted, biased articles elicited a hindsight bias in readers, who had not known of the event previously. Moreover, biased articles also affected individuals who knew about the event already, and who had already developed a hindsight bias: biased articles further increased their hindsight.

A plentitude of research has analyzed citizens’ belief in conspiracy theories and its individual‐level correlates. Yet, the effects of (political) context factors on the causes and effects of individual belief in conspiracy theories are still neglected. However, such context should be especially relevant when it comes to the impact of one’s belief in conspiracy theories on one’s political preference. In this article, we argue that the communication of governmental actors exerts a moderating influence on the link leading from a belief in conspiracy theories to political attitudes. In a nutshell, the belief in conspiracy theories should make citizens less likely to distrust their government—and the political system in general—in contexts where these theories are shared or at least publicly represented by governmental actors. Using two original data sets with data from Germany, Poland, and Jordan (Study 1) and data from Germany, Poland, Sweden, and France (Study 2), we test our argument based on an overall sample of about 10,000 cases. Our results indicate that higher degrees of generic conspiracy theories beliefs are associated with higher levels of political distrust across countries. Yet, confirming our argument, such an effect takes place less strongly in those countries in which governmental actors use conspiracy theories as a political communication strategy.

Social skills are of key importance in everyday and work life. However, the way in which they are typically assessed via self-report questionnaires has one potential downside; self-reports assess individuals’ global self-concepts, which do not necessarily reflect individuals’ actual social behaviors. In this research, we aimed to investigate how self-concepts assessed via questionnaires relate to skill expression assessed via behavioral observations after short interpersonal simulations. For this, we used an alternative behavior-based skill assessment approach designed to capture expressions of predefined social skills. Self- and observer ratings were collected to assess three different social skills: agency (i.e., getting ahead in social situations), communion (i.e., getting along in social situations), and interpersonal resilience (i.e., staying calm in social situations). We explored how these skills were related to self-concepts by differentiating between a classic personality measure (i.e., Big Five Inventory 2; BFI-2) and a novel skill questionnaire (i.e., Behavioral, Emotional, and Social Skills Inventory; BESSI). The results (N = 137) showed that both personality and skill self-concepts predicted self-rated skill expression, with the BESSI showing incremental validity. For both personality and skills self-concepts, the relationships with observer-rated skill expression were significant for agency but not for communion or interpersonal resilience. We discuss these results and highlight the theoretical and practical importance of differentiating between skill self-concepts and actual skill expression.

Conspiracy mentality (CM), the general propensity to believe in conspiracy theories, has been linked to political behaviors, prejudice, and non‐compliance with public health guidelines. While there is increasing evidence that conspiracy beliefs are pervasive, research on individual‐level predictors of CM is scarce. Specifically, we identify three gaps in research: First, evidence on the question which individual‐level characteristics predict CM is inconsistent and often based on small samples. Second, personality, political, and religious predictors are usually examined in isolation. Third, differences on the societal level have been mostly neglected. In the present research, we gathered CAWI (Study 1) and CATI (Study 2) data on generalized interpersonal trust (GIT), right‐wing authoritarianism (RWA), and religiosity in two politically and culturally different European countries, namely Germany (N = 2,760) and Poland (N = 2,651). This allowed for a well‐powered test of three theoretically relevant predictors of CM, including their unique predictive value. Moreover, we were able to explore whether these associations replicate across or are moderated by country context. Our findings underline the role of GIT and RWA in predicting CM in both countries. Analyses based on RWA subdimensions yielded a differentiated picture of the role of RWA. Furthermore, we found cross‐country differences with stronger associations of GIT and RWA with CM in Germany. Findings are discussed concerning political and religious differences between the examined countries.