Four eyes, two truths: Explaining heterogeneity in perceived severity of digital hate against immigrants

Abstract

Drawing on theories related to interpersonal and intergroup behavior, this study investigated effects of personality traits (i.e., empathy and identity insecurity) and attitudes (i.e., anti-migration attitudes and social dominance orientation) on the perceived severity of digital hate against immigrants in Austria. Findings of autoregressive path modeling using two-wave panel data revealed that empathic suffering and egalitarianism positively predicted perceived severity, while anti-migrant attitudes exhibited a negative prediction. In terms of interactions between personality and attitudes, we observed that the prediction of empathic suffering becomes less relevant for egalitarian individuals, which indicates an overwriting process that might be a promising way to counteract socially harmful digital hate perceptions. Implications for research on annotation tasks and hate interventions are discussed.