Social influence matters: We follow pandemic guidelines most when our close circle does

Why do we adopt new rules, such as social distancing? Although human sciences research stresses the key role of social influence in behaviour change, most COVID-19 campaigns emphasize the disease’s medical threat. In a global data set (n = 6,675), we investigated how social influences predict people’s adherence to distancing rules during the pandemic. Bayesian regression analyses controlling for stringency of local measures showed that people distanced most when they thought their close social circle did. Such social influence mattered more than people thinking distancing was the right thing to do. People’s adherence also aligned with their fellow citizens, but only if they felt deeply bonded with their country. Self-vulnerability to the disease predicted distancing more for people with larger social circles. Collective efficacy and collectivism also significantly predicted distancing. To achieve behavioural change during crises, policymakers must emphasize shared values and harness the social influence of close friends and family.     

Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

A preliminary sketch of a Jungian socioanalysis – an emerging theory combining analytical psychology,complexity theories,sociological theories,socio- and psycho-analysis,group analysis and affect theories1

This paper presents a preliminary sketch of what we have termed a Jungian socioanalysis – an emerging theory combining analytical psychology, complexity theories, sociological theories, socio- and psycho-analysis, group analysis and affect theories. Our assumption is that Jungian theory and practice need to attend to and focus more on social contexts, sociality and the influence of societal developments. But also, on the other hand, that analytical psychology, primarily Jung’s theory of individuation and the transcendent function as well as the broad complexity perspective of his theory of psyche, can be extended to a ‘socio’ and not just a ‘psycho’ perspective. The paper presents five foundational assumptions for a Jungian socioanalysis, with the following headings: 1) A Jungian socioanalysis calls for a complex psychology; 2) (Un)consciousness is social and sociality has a dimension of (un)consciousness; 3) A Jungian socioanalysis explores social fields ‘from within’ by smaller groups; 4) A Jungian socioanalysis enables and is enabled by emerging metaphors and affect-imagery; 5) Socio-cultural fields have an impulse toward individuation. This is the first of two papers in the present edition of the journal – the second paper gives socio-clinical illustrations of our thesis in this paper.     

Treating Childhood Social Anxiety Disorder With Virtual Environments and Serious Games: A Randomized Trial

Disseminating efficacious psychological treatments remains a challenge for researchers and clinicians. In the case of social anxiety disorder (SAD), Social Effectiveness Therapy for Children (SET-C) has been demonstrated as an efficacious intervention, but elements of the protocol, such as peer generalization sessions, remain challenging to conduct in typical clinical settings. To address this need, we developed an artificially intelligent, web-based application, Pegasys-VR™, designed to replace peer generalization sessions and enhance homework compliance. The feasibility of Pegasys-VR™ was tested in a randomized controlled trial in comparison to SET-C. The results indicated that both programs were equally efficacious in decreasing anxiety and improving social skill in social encounters. Sixty-three percent (63%) of children treated with SET-C and 60% treated with Pegasys-VR™ did not meet diagnostic criteria for SAD at posttreatment. Pegasys-VR™ is a feasible, efficacious, and dissemination-friendly element of a comprehensive treatment program for social anxiety disorder in children.     

Interactive effects of social network centrality and social identification on stress

The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.     

The role of empathy and social anxiety in Latinx adolescents' indirect peer aggression during the transition to high school

The primary purpose of this study was to evaluate the relationship between decreased empathy (i.e., cognitive and affective) and indirect and cyber peer aggression among Latinx adolescents during their transition to high school. Further, we examined the degree to which social anxiety moderated this relationship. Participants were 469 Latinx ninth graders, ages 13–17 years (M = 14.52, SD = 0.58; 58% girls). Adolescents completed the Revised Peer Experiences Questionnaire, Cyber Peer Experiences Questionnaire, Basic Empathy Scale, and Social Anxiety Scale for Adolescents at two different time points, 3 months apart. Hierarchical linear regression analyses revealed concurrent and prospective relationships between lower cognitive empathy and the perpetration of both indirect and cyber aggression. In addition, social anxiety moderated the concurrent associations between both types of empathy and both types of aggression perpetration. Results suggest that interventions that facilitate cognitive empathy and decrease social anxiety may help to reduce adolescents' indirect and cyber aggression toward peers throughout the high school transition.     

Defensive Partisanship? Evidence that In-Party Scandals Increase Out-Party Hostility

Contemporary U.S. politics is characterized by polarization and interpartisan antipathy. This is accompanied by a media landscape saturated with coverage of political scandals. Applying a social identity perspective, we examined whether exposure to scandals that threaten partisan's moral group image (i.e., in-party scandals), may motivate defensive hostility against opposing partisans. Across three experiments we exposed U.S. partisans to scandals attributed to either in-party or out-party politicians. We then assessed partisan hostility using a variety of operationalizations, including anger at a real outgroup politician (Study 1), judgments about the alleged misdeeds of a fabricated outgroup politician (Study 2), and negative perceptions of opposing party members (Study 3). Strength of partisan identity was assessed as a predicted moderator (Study 3). As expected in- (vs. out-) party scandals, were perceived as group-image threats and elicited greater hostility towards opposing partisans, independent of partisans' ideological extremity or prior affective polarization.     

The Relation Between Social Identities and Outgroup Hostility Among German Immigrant-Origin Citizens

One of the major drivers of societal conflict are the intergroup relations which rely mainly on social identity and which are rarely analyzed for immigrant groups. This article changes this point of view by investigating the extent to which national, ethnic, and religious identities relate to outgroup hostilities towards the majority of the German population, towards other immigrant groups, and towards Syrian refugees among immigrant-origin citizens. We employ a theoretical framework based on the social identity approach and use new representative survey data from 2017 for Germans of Turkish descent (N = 480) and Russian Germans (N = 471). Based on multivariate linear regression analysis, we show that ethnic identity has the strongest positive relation with outgroup hostilities, with the exception of the Russian-Germans' evaluation of the German majority population. National identity among Germans of Turkish descent lessens their hostility towards other immigrants. Our results show the importance of analyzing immigrant groups with different migration trajectories separately before making generalized claims. Not only are the identity relations different between an ingroup identification and various outgroup targets, but they are also different between the immigrant groups for the same ingroup identification and outgroup target.     

Social preference in rats

Rats were given repeated choices between social and nonsocial outcomes, and between familiar and unfamiliar social outcomes. Lever presses on either of 2 levers in the middle chamber of a 3-chamber apparatus opened a door adjacent to the lever, permitting 45-s access to social interaction with the rat in the chosen side chamber. In Experiment 1, rats preferred (a) social over nonsocial options, choosing their cagemate rat over an empty chamber, and (b) an unfamiliar over a familiar rat, choosing a non-cagemate over their cagemate. These findings were replicated in Experiment 2 with 2 different non-cagemate rats. Rats preferred both non-cagemate rats to a similar degree when pitted against their cagemate, but were indifferent when the 2 non-cagemates were pitted against each other. Similar preference for social over nonsocial and non-cagemate over cagemate was seen in Experiment 3, with new non-cagemate rats introduced after every third session. Response rates (for both cagemate and non-cagemate rats) were elevated under conditions of nonsocial (isolated) housing compared to conditions of social (paired) housing, demonstrating a social deprivation effect. Together, the experiments contribute to an experimental analysis of social preference within a social reinforcement framework, drawing on methods with proven efficacy in the analysis of reinforcement more generally.