Motivations to engage in collective action: A latent profile analysis of refugee supporters.

What motivates people to participate in collective action? Some actions such as symbolic or online actions are often critiqued as performative allyship, motivated by personal gain rather than genuine concern for the cause. We aim to adjudicate this argument by examining the quality of motivations for acting, drawing on the insights of self-determination theory and the social identity approach. Using latent profile analysis, we examined whether there are different types of supporters of refugees based on their underlying motives. In Study 1, we surveyed supporters of Syrian refugees from six nations (N = 936) and measured autonomous and controlled motivation, pro-refugee identification and collective action. In Study 2 (N = 1994), we surveyed supporters of Ukrainian refugees in Romania, Hungary and the UK. We found 4-5 profiles in each sample and consistently found that supporters with high autonomous motivation take more action than disengaged or ambivalent supporters (low/neutral on all motives). However, contrary to the tenets of self-determination theory, those high in both autonomous and controlled motives were the most engaged. We conclude that the most committed supporters are those with multiple motives, but further research is needed on the role of controlled motivation.

I won't listen if I think we're losing our way: How right-wing authoritarianism affects the response to different anti-prejudice messages.

Prejudice reduction messages have been shown to be effective through changing norms. Previous research suggests that Right Wing Authoritarianism (RWA) moderates the reaction to these messages, but it is unclear whether individuals high in RWA are more or less sensitive to prejudice-reduction campaigns. This research used the social identity approach to investigate the role of RWA in moderating the reactions to messages that look to reduce support for prejudicial policies and associated prejudice against an ethnoreligious group (Muslims). Americans (N = 388) were presented with statements on a real, proposed ban on Muslim immigration into the US from an in-group member (i.e., an American freight worker who disapproves of the Muslim ban), outgroup member (an Iraqi refugee who is in favour if the Muslim ban), or both, or control message. Those high in RWA showed consistently high levels of prejudice against Muslims in all conditions, but those low in RWA showed lower prejudice when presented with the anti-prejudice message from an in-group member (compared to control). This suggests that anti-prejudice messages primarily affect those with low RWA, clarifying that RWA likely leads to resistance to anti-prejudice messages regardless of the source. Future research aiming to reduce prejudice should examine how messages can be tailored to reduce prejudice in those with high RWA.

Online Intergroup Polarization Across Political Fault Lines: An Integrative Review.

We revisit the construct of political polarization and current distinctions between issue-driven and affective polarization. Based on our review of recent research on polarization from psychology, political science, and communication, we propose to treat polarization as a process that integrates the concepts of social identification (collective self-definition) with ideologically opposed camps - that is, psychological groups based on support or opposition to specific socio-political issues and policies (related to issue-driven polarization), and that of ideological and psychological distancing between groups (related to affective polarization). Furthermore, we discuss the foundations of polarizing groups - and more specifically, the role of conflicting collective narratives about social reality in providing an initial platform for polarization in a technologically networked world. In particular, we highlight the importance of online media in facilitating and enhancing polarization between ideologically opposed camps. As a theoretical contribution, the review provides a more functional conceptualization of polarization that can explain how polarization may occur across partisan fault lines and in domains outside of politics. We conclude with a discussion of new pathways to the study of polarization which this integrative conceptualization opens.

Antecedents of Vaccine Hesitancy in WEIRD and East Asian Contexts.

Following decreasing vaccination rates over the last two decades, understanding the roots of vaccine hesitancy has become a public health priority. Vaccine hesitancy is linked to scientifically unfounded fears around the MMR vaccine and autism which are often fuelled by misinformation spread on social media. To counteract the effects of misinformation about vaccines and in particular the falling vaccination rates, much research has focused on identifying the antecedents of vaccine hesitancy. As antecedents of vaccine hesitancy are contextually dependent, a one-size-fits-all approach is unlikely to be successful in non-WEIRD (Western, Educated, Industrialised, Rich, and Democratic) populations, and even in certain (non-typical) WEIRD sub-populations. Successful interventions to reduce vaccine hesitancy must be based on understanding of the specific context. To identify potential contextual differences in the antecedents of vaccine hesitancy, we review research from three non-WEIRD populations in East Asia, and three WEIRD sub-populations. We find that regardless of the context, mistrust seems to be the key factor leading to vaccine hesitancy. However, the object of mistrust varies across WEIRD and non-WEIRD populations, and across WEIRD subgroups suggesting that effective science communication must be mindful of these differences.

The effects of local socio-political events on group cohesion in online far-right communities.

In recent years, the reach and influence of far-right ideologies have been extended through online communities with devastating effects in the real world. In this research, we examine how far-right online communities can be empowered by socio-political events that are significant to them. Using over 14 years of data extracted from an Australian national sub-forum of a global online white supremacist community, we investigate whether the group cohesion of the community is affected by local race riots. Our analysis shows that the online community, not only became more cohesive after the riots, but was also reinvigorated by highly active new members who joined during the week of the riots or soon after. These changes were maintained over the longer-term, highlighting pervasive ramifications of the local socio-political context for this white supremacist community. Pre-registered analyses of data extracted from other white supremacist online communities (in South Africa and the United Kingdom) show similar effects on some of the indicators of group cohesion, but of reduced magnitude, and not as enduring as the effects found in the context of the Australian far-right online community.

United in Diversity, Divided in Adversity? Support for Right-Wing Eurosceptic Parties in the Face of Threat Differs Across Nations.

This article investigates whether the perceived threat of terrorism explains the support for right-wing Eurosceptic parties and Euroscepticism above and beyond other relevant variables, including perceived economic and immigration threats. We first examined the entire Eurobarometer samples of 2014 and 2015, and then conducted survey experiments in four European Union (EU) countries, that is, United Kingdom (N = 197), France (N = 164), Italy (N = 312), and Romania (N = 144). Our findings suggest that the perceived threat of terrorism has a small effect on the negative attitudes toward the EU above and beyond the effect of immigration and economic threats and other basic control variables. The relationship between these variables varies across countries and it is less linear than we might expect.

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community.

The article describes a new methodology designed with the aim of finding a comprehensive, unobtrusive, and accurate way of capturing social recovery capital development in online communities of recovery from alcohol and drug (AOD) addiction. Recovery capital was conceptualised as both engagement in the online recovery community and identification with the community. To measure recovery capital development, naturally occurring data were extracted from the social media page of a specific recovery program, with the page being set up as a resource for a face-to-face recovery program. To map engagement with the online community, social network analysis (SNA) capturing online social interaction was performed. Social interaction was measured through the linkages between the online contributors/members of the online community as represented by program clients, staff, and supporters from the broader community. To capture markers of social identification with the online community, computerised linguistic analysis of the textual data (content from posts and comments) was conducted. Recovery capital captured in this way was analysed against retention data (a proxy outcome indicator), as days spent in the (face-to-face) recovery program. The online data extracted was linked to participant data in regards to program retention to test prediction of a key recovery outcome. This approach allowed the examination of the role of online support communities and assessment of the association between recovery capital (developed via the online community of recovery) and recovery outcomes.

Evidence That Frame of Reference Effects Can Reduce Socially Prescribed Perfectionism.

Socially prescribed perfectionism appears to drive disordered eating behaviour in young women, usually via messages from fellow women. Social psychological research suggests that framing effects can be manipulated to reduce the effect of unhealthy messages. This research used contrasting messages about perfectionism to reduce perfectionism among female dieters. We recruited 147 female dieters (M age = 25.11) for a between-subjects experimental study. While completing an online questionnaire, participants were exposed to one of three sets of blog posts, which varied in content and source. These three conditions always had one anti-perfectionism message from a woman. This was presented along with either a high perfection message from a man, a high perfectionism message from a woman, or both of these messages. After reading the blog posts, women were asked to fill out a scale assessing their levels of socially prescribed perfectionism. When participants were exposed to an anti-perfectionism message from a woman, paired with a high-perfectionism message from a man, participants showed lower socially prescribed perfectionism than when both high and anti-perfectionism messages came from two women. These findings imply that strategies designed to reduce socially prescribed perfectionism may benefit from including contrasting messages, as this may shift perceived perfectionism norms. Implications for social interventions are discussed.

Building addiction recovery capital through online participation in a recovery community.

RATIONALE: This study examines how online participation in a community of recovery contributes to personal journeys of recovery. It investigates whether recovery capital building - as indicated by increased levels and quality of online social interactions - and markers of positive identity development predict retention in a recovery program designed around fostering community involvement for early stage recovery addicts. HYPOTHESES: It was predicted that online participation on the group's Facebook page and positive identity development are associated to retention in the program. METHODS: To map how participants interact online, social network analysis (SNA) based on naturally occurring online data (N = 609) on the Facebook page of a recovery community was conducted. Computerised linguistic analyses evaluated sentiment of the textual data (capturing social identity markers). Linear regression analyses evaluated whether indicators of recovery capital predict program retention. To illustrate the findings in the context of the specific recovery community, presented are two case studies of key participants who moved from the periphery to the centre of the social network. By conducting in-depth interviews with these participants, personal experiences of engagement in the online community of group members who have undergone the most significant changes since joining the community are explored. RESULTS: Retention in the program was determined by a) the number of comment 'likes' and all 'likes' received on the Facebook page; b) position in the social network (degree of centrality); and c) linguistic content around group identity and achievement. CONCLUSION: Positive online interactions between members of recovery communities support the recovery process through helping participants to develop recovery capital that binds them to groups supportive of positive change.

Where There Is a (Collective) Will, There Are (Effective) Ways: Integrating Individual- and Group-Level Factors in Explaining Humanitarian Collective Action.

The 21st century has borne witness to catastrophic natural and human-induced tragedies. These disasters necessitate humanitarian responses; however, the individual and collective bases of support are not well understood. Drawing on Duncan's motivational model of collective action, we focus on how individual differences position a person to adopt group memberships and develop a "group consciousness" that provides the basis for humanitarian action. Longitudinal mediation analyses involving supporters of international humanitarian action (N = 384) sampled annually for 3 years provided support for the hypothesized model, with some twists. The results revealed that within time point, a set of individual differences (together, the "pro-social orientation") promoted a humanitarian group consciousness that, in turn, facilitated collective action. However, longitudinally, there was evidence that a more general pro-social orientation undermined subsequent identification with, and engagement in, the humanitarian cause. Results are discussed in terms of understanding the interplay between individual and group in collective actions.

Rasch analysis of the Personal Wellbeing Index.

PURPOSE: The Personal Wellbeing Index (PWI) is used internationally to measure subjective well-being. While numerous studies have reported on the psychometric properties of the PWI using classic test theory, the current paper provides additional psychometric evaluation using the Rasch measurement model. METHOD: The responses to the PWI items of 593 healthy adults living in Australia or Canada were analysed using Rasch analysis. Assessed were overall model fit was assessed, individual person fit and item fit, reliability, differential item functioning (DIF), unidimensionality, targeting, and response format. RESULTS: Results indicate excellent psychometric properties of the PWI, provided the religion/spirituality item is excluded. The seven-item PWI showed good model fit (overall item-trait interaction χ (2) = 70.59, df = 63, p = 0.24), excellent person separation (PSI = .89), no item or person misfit, and no DIF for country or gender, and unidimensionality was supported. In addition, only very mild disordered thresholds were observed for the 'safety' item, indicating that overall, the 11-point response format was suitable for this population. CONCLUSION: It is recommended that the religion/spirituality item not be included in the aggregated or averaged total score in Western context and that caution should be used in comparison across different groups where the eight-item version has been used.

Group-based guilt as a predictor of commitment to apology.

Whether the Australian government should officially apologize to Indigenous Australians for past wrongs is hotly debated in Australia. The predictors of support amongst non-Indigenous Australians for such an apology were examined in two studies. The first study (N=164) showed that group-based guilt was a good predictor of support for a government apology, as was the perception that non-Indigenous Australians were relatively advantaged. In the second study (N=116) it was found that group-based guilt was an excellent predictor of support for apology and was itself predicted by perceived non-Indigenous responsibility for harsh treatment of Indigenous people, and an absence of doubts about the legitimacy of group-based guilt. National identification was not a predictor of group-based guilt. The results of the two studies suggest that, just as individual emotions predict individual action tendencies, so group-based guilt predicts support for actions or decisions to be taken at the collective level.