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The present set of studies aimed to explore the effect of self-esteem on corrupt intention and the mediating role of materialism in generating this effect. In Study 1, we used questionnaires to investigate the correlation among self-esteem, materialism, and corrupt intention. In Study 2, we manipulated self-esteem to explore the causal effect of self-esteem on materialism and corrupt intention. In Study 3, we manipulated materialism to examine whether inducing materialism can reduce the relationship between self-esteem and corrupt intention. The three studies converged to show that increased self-esteem caused a low level of materialism, which in turn decreased corrupt intention. The theoretical and practical implications of the results are discussed.

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Objective: Coronavirus disease 2019 (COVID-19) has caused substantial panic worldwide since its outbreak in December 2019. This study uses social networks to track the evolution of public emotion during COVID-19 in China and analyzes the root causes of these public emotions from an event-driven perspective. Methods: A dataset was constructed using microblogs (n = 125,672) labeled with COVID-19-related super topics (n = 680) from 40,891 users from 1 December 2019 to 17 February 2020. Based on the skeleton and key change points of COVID-19 extracted from microblogging contents, we tracked the public’s emotional evolution modes (accumulated emotions, emotion covariances, and emotion transitions) by time phase and further extracted the details of dominant social events. Results: Public emotions showed different evolution modes during different phases of COVID-19. Events about the development of COVID-19 remained hot, but generally declined, and public attention shifted to other aspects of the epidemic (e.g., encouragement, support, and treatment). Conclusions: These findings suggest that the public’s feedback on COVID-19 predated official accounts on the microblog platform. There were clear differences in the trending events that large users (users with many fans and readings) and common users paid attention to during each phase of COVID-19.

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