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Collective authoritarian responses to threat might differ depending on whether people trust collective authorities in reducing threat. Thus, we tested the differential effects of epidemic threat on three facets of right‐wing authoritarianism, in Germany (a country with high authorities' efficacy in responses to COVID‐19) and Poland (low authorities' efficacy context). Two representative sample longitudinal studies performed in Poland (N = 892) and Germany (N = 883) showed that in Germany feelings of COVID‐19 threat explained increases in authoritarian submission and (to a lesser extent) authoritarian aggression, whereas in Poland such feelings of threat explained changes in authoritarian aggression and conventionalism after the pandemic, but did not alter authoritarian submission. These findings suggest that specific authoritarian reactions to threat (submissive vs. conventionalist) might depend on the general trust in authorities' ability to respond to crises. [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020. Measurement(s) time at medical intervention • medical intervention Technology Type(s) digital curation • content analysis strategy of existing information sources Factor Type(s) non-pharmaceutical intervention • date Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12668792 [ABSTRACT FROM AUTHOR]