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Violent conflicts have often been observed to generate social environments in which human rights violations are more easily tolerated and legitimized. However, recent research has documented cases in which communities exposed to violence react with increased condemnations of human rights violations. In this article, we focus on the distinction between generalized and particularized violence. Our findings show that, in the postwar ex‐Yugoslavia context, when local communities have been exposed to violence that was generalized across different ethno‐national groups, they strongly condemn human rights violations. Multilevel structural equation models show that the relationship between generalized victimization and the condemnation of human rights violations is mediated by a collective sense of anomie. The processes that move from collective exposure to violence to the collective reaffirmation of human rights are more likely to unfold in communities where violence transcended group boundaries than in communities where particular groups were disproportionately affected by the violence. [ABSTRACT FROM AUTHOR]

In this study, we examine how communal exposure to war violence is related to the inhabitants' forgiveness. Based on multilevel analyses of representative survey data collected in the post-war former Yugoslavia ( N = 18 351), we show that forgiveness depends on the type of communal violence: It is lowest in communities exposed to asymmetric and strongest in communities exposed to symmetric violence. We further show the mediating role of the inter-ethnic bonds and nationalistic climates in the communities: while asymmetric violence breaks local inter-ethnic bonds and fuels norms of unconditional nationalism, in communities exposed to symmetric violence, inter-ethnic contact is preserved, and nationalism rejected, more strongly than elsewhere. Our findings thus show that individuals' reconciliatory attitudes depend on the social context in which they are embedded; in particular, on the type of violence that affected their community and on the resulting communal climate that fosters or inhibits inter-ethnic contact and exclusionary identities. [ABSTRACT FROM AUTHOR]

In this article, we introduce spatially weighted context data as a new approach for studying the contextual dimension of factors that shapes social behavior and collective worldviews. First, we briefly discuss the current contribution of multilevel regression to the study of contextual effects. We subsequently provide a formal definition of spatially weighted context data, as a complement to and extension of the existing multilevel analyses, which allows the study of contextual influences that decrease with increasing distance, rather than contextual influences that are bound within discrete contexts. To show how spatially weighted context data can be generated and used in practice, we present a research application about the impact of the collective experiences of war across the former Yugoslavia. Using geographically stratified survey data from the Transition to Adulthood and Collective Experiences Survey (TRACES), we illustrate how empirical conclusions about the collective impact of war events vary as a function of the scale at which context effects are being modeled. Furthermore, we show how observed geographic patterns can be explained by underlying patterns of social proximity between the concerned populations, and we propose a procedure to estimate the part of spatial dependency explained by models applying specific definitions of social proximity. In the final section, we discuss the boundary conditions for the use of spatially weighted context data and summarize the contribution of the proposed approach to existing methods for the study of context effects in the social sciences. [ABSTRACT FROM PUBLISHER]