Funded by DFG (493809260)
SPARK analyses the short-term escalation dynamics in cultural identity conflicts on a global scale. Conflictive mass behaviour is
conceptualized as “cascades”, which are understood as propagations of self-organizing conflictive mass behaviour of varying intensity and extensity. In our model, an emboldening emotional climate
provides the “fuel” that is sparked by a triggering event. As an intermediate step, we expect that the activated potential translates into action through collective self-organization. By
combining triggering events, collective emotions and self-organization, SPARK investigates an innovative and comprehensive explanation of the non-linear short-term escalation dynamics of
collective mass behaviour in cultural identity conflicts. The project is structured in three work packages (WP). WP1 establishes the empirical database. In a second step (WP2), we subject the
model to a quantitative test. For this purpose, we measure collective self-organization and emotional climates by conducting network and sentiment analyses. The third step (WP3) consists of a
qualitative test of the model. Based on the statistical evaluation, we select typical and deviant cases for process tracing analysis. In cooperation with local case experts, conflict-specific
case studies are prepared and subjected to a systematic cross-case comparison.
