Collective action against corruption in Western and non-Western countries: cross-cultural implications of the Axiological-Identitary Collective Action Model.

People sometimes protest government corruption, yet our current understanding of why they do so is culturally constrained. Can we separate pancultural factors influencing people's willingness to protest government corruption from factors culturally specific to each socioecological context? Surprisingly little cross-cultural data exist on this important question. To fill this gap, we performed a cross-cultural test of the Axiological-Identitary Collective Action Model (AICAM) regarding the intention to protest against corruption. As a collective action framework, AICAM integrates three classical antecedents of collective action (injustice, efficacy, identity) with axiological variables (ideology and morality). A total sample of 2,316 participants from six countries (Nigeria, Russia, India, Spain, United States, Germany) in a multilevel analysis of AICAM predictions showed that the positive relationship of the intention to protest corruption with moral obligation, system-based anger, and national identification can be considered pancultural. In contrast, the relationships between system justification and perceived efficacy are culturally specific. System justification negatively predicted the intention to participate only in countries with high levels of wealth, while perceived efficacy positively predicted it only in countries perceived as less corrupt. These findings highlight the importance of accounting features of socioecology and separating pancultural from culture-specific effects in understanding collective action.

More Similarity if Different, More Difference if Similar: Assimilation, Colorblindness, Multiculturalism, Polyculturalism, and Generalized and Specific Negative Intergroup Bias.

The creation of a social climate where all ethnic groups can harmoniously coexist is a central challenge for many countries today. Should we emphasize similarities and common ground or, conversely, recognize that there are important differences between groups? The current study examined relations between diversity ideologies (assimilation, colorblindness, multiculturalism, polyculturalism) and generalized and specific intergroup bias (against Chechens, Belarusians, Uzbeks, Chinese, and Jews and Muslims) among ethnic Russians (N = 701). In Study 1, colorblindness (ignoring differences) and polyculturalism (emphasizing interconnectivity) were associated with lower generalized intergroup bias and lower bias against Chechens, Uzbeks, and Chinese, but not Belarusians. Bias against Belarusians was lower among those who endorsed multiculturalism (emphasizing differences). In Study 2, multiculturalism was associated with higher implicit bias when the target was a Chechen but in general more proximal variables (positive or negative contact experience and perceived group similarity) were more robust predictors of intergroup bias than diversity ideologies. In Study 3, colorblindness and polyculturalism were related to lower levels of fearful attitudes against Muslims. Colorblindness was also associated with lower levels of Antisemitism in contrast to multiculturalism that had an opposite association. We place these results in the context of cultural distance and existing cultural stereotypes about different groups among the majority of Russians. The strengths and weaknesses of each diversity ideology for the mainstream cultural group are discussed. The results of the current study suggest that the most fruitful strategy for mainstream cultural groups for maintaining harmonious intergroup relations in diverse societies might be that of optimal distinctiveness.

Mobile application for couple relationships: Results of a pilot effectiveness study.

Mobile apps in mental health have seen a significant growth in recent years. Most of them are aimed at treating depression, anxiety, and stress disorders using cognitive behavioural therapy methods and relatively few apps are being developed to address interpersonal issues. This study tested the effectiveness of the iCognito Relationship Program, a self-help application for couple relationships based on the chatbot technology. A between-group experimental study was conducted in Russia using the bibliotherapy as a control condition (N = 58, female sample), with results showing that, after 2 weeks, iCognito's users had increased satisfaction, tenderness, constructive communication, as well as commitment to the relationship. Also, indicators for relationship self-efficacy, communicative skills in relationships, and self-esteem regarding relationship skills had significantly increased, while level of conflicts had decreased. A medium effect size was reported for most indicators. The participants of an experimental group expressed a high level of satisfaction with the technology and a generally positive attitude towards the idea of working with a "virtual psychologist"-chatbot on their personal issues. Despite the need to reproduce the research results, iCognito program demonstrates that both mobile application and chatbot technologies can be useful for training individuals' relationship satisfaction and communication skills, and that they can be more efficient in increasing satisfaction and reducing conflict in relationships than self-help books.

En los últimos años, las aplicaciones móviles en la salud mental han crecido considerablemente. La mayoría están orientadas a tratar trastornos de depresión, ansiedad y estrés usando métodos de la terapia cognitivo-conductual, pero se están desarrollando relativamente pocas aplicaciones para abordar problemas interpersonales. En este estudio se evaluó la eficacia de la iCognito Relationship Program, una aplicación de autoayuda para las relaciones de pareja basada en la tecnología de bots de charla. Se realizó un estudio experimental intergrupal en Rusia usando la biblioterapia como condición de control (N = 58, muestra femenina), cuyos resultados demostraron que, después de 2 semanas, los usuarios de iCognito habían aumentado la satisfacción, la amabilidad, la comunicación constructiva y el compromiso con la relación. Además, los indicadores de la autoeficacia de la relación, las habilidades comunicativas en las relaciones y la autoestima con respecto a las habilidades relacionales habían aumentado significativamente, mientras que el nivel de conflictos había disminuido. Se informó un tamaño del efecto mediano para la mayoría de los indicadores. Los participantes de un grupo experimental expresaron un alto nivel de satisfacción con la tecnología y una actitud generalmente positiva hacia la idea de trabajar con un "psicólogo virtual" en un bot de charla sobre sus problemas personales. A pesar de la necesidad de reproducir los resultados de la investigación, el programa iCognito demuestra que tanto la aplicación móvil como las tecnologías de bot de charla pueden ser útiles para formar las habilidades de satisfacción con la relación y de comunicación de las personas, y que pueden ser más eficaces que los libros de autoayuda a la hora de aumentar la satisfacción y reducir el conflicto en las relaciones.

Mapping Ethnic Stereotypes and Their Antecedents in Russia: The Stereotype Content Model.

The stereotype content model (SCM), originating in the United States and generalized across nearly 50 countries, has yet to address ethnic relations in one of the world's most influential nations. Russia and the United States are somewhat alike (large, powerful, immigrant-receiving), but differ in other ways relevant to intergroup images (culture, religions, ideology, and history). Russian ethnic stereotypes are understudied, but significant for theoretical breadth and practical politics. This research tested the SCM on ethnic stereotypes in a Russian sample (N = 1115). Study 1 (N = 438) produced an SCM map of the sixty most numerous domestic ethnic groups (both ethnic minorities and immigrants). Four clusters occupied the SCM warmth-by-competence space. Study 2 (N = 677) compared approaches to ethnic stereotypes in terms of status and competition, cultural distance, perceived region, and four intergroup threats. Using the same Study 1 groups, the Russian SCM map showed correlated warmth and competence, with few ambivalent stereotypes. As the SCM predicts, status predicted competence, and competition negatively predicted warmth. Beyond the SCM, status and property threat both were robust antecedents for both competence and warmth for all groups. Besides competition, cultural distance also negatively predicted warmth for all groups. The role of the other antecedents, as expected, varied from group to group. To examine relative impact, a network analysis demonstrated that status, competition, and property threat centrally influence many other variables in the networks. The SCM, along with antecedents from other models, describes Russian ethnic-group images. This research contributes: (1) a comparison of established approaches to ethnic stereotypes (from acculturation and intergroup relations) showing the stability of the main SCM predictions; (2) network structures of the multivariate dependencies of the considered variables; (3) systematically cataloged images of ethnic groups in Russia for further comparisons, illuminating the Russian historical, societal, and interethnic context.