Characteristics of victim blaming related to COVID-19 in South Korea

Ji-Bum Chung, Dahye Yeon and Min-Kyu Kim

Social Science & Medicine, 2023, vol. 320, issue C

Abstract: This study aimed to determine the characteristics of the victim-blaming tendency of patients with coronavirus disease-2019 (COVID-19) and the worry of being blamed because of COVID-19 infection. This study utilized two methodologies based on the theory of defensive attribution and information processing. First, a media analysis was conducted to determine the characteristics of the two representative COVID-19 victim blaming cases (the Itaewon Club case and the Omicron-infected pastor case). The results show that from the viewpoint of defensive attribution theory, the victim blaming of patients infected with COVID-19 is related to social identity and moral violations committed by the patients. The Korean public emphasized their social identity and believed that the patients were different from them from an ego-defensive viewpoint. Second, we conducted three longitudinal online panel surveys (N1 = 1569; N2 = 1037; N3 = 833). The samples were selected by stratified random sampling based on sex, age, and 17 metropolitan regions in Korea. The results showed that as the number of COVID-19 cases increased, the respondents' level of risk perception decreased significantly. As the information processing theory explains, people who are familiar with the frequent risks of COVID-19 are less worried about being blamed by others. Meanwhile, the regression analysis found that victim blaming of the pastor was significantly related to the respondent's religion. We can conclude that the Korean people may blame the victims of COVID-19 because they believe that the victims are very different from an ego-defensive viewpoint. Furthermore, the trust variable appeared to be important: the more the respondents trusted the government, the more they blamed the victims of COVID-19. We term this phenomenon the “trust paradox.”

Keywords: COVID-19; Victim blaming; Korea; Defensive attribution; Information processing (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.socscimed.2023.115668

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