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Author:

Lian, Ying (Lian, Ying.) | Zhou, Yueting (Zhou, Yueting.) | Lian, Xueying (Lian, Xueying.) | Dong, Xuefan (Dong, Xuefan.)

Indexed by:

SSCI AHCI Scopus

Abstract:

Disclosure of patients' travel route information by government departments has been an effective and indispensable pandemic prevention and control measure during the COVID-19 pandemic. However, this measure may make patients susceptible to cyber violence (CV). We selected 13 real cases that occurred in China during the COVID-19 pandemic for analysis. We identified several characteristics that commonly appeared due to route information, such as rumors about and moral condemnation of patients, and determined that patients who are the first locally confirmed cases of a particular wave of the pandemic are more likely to be the victims of CV. We then analyzed and compared six real cases using data mining and network analysis approaches. We found that disclosing travel route information increases the risk of exposing patients to CV, especially those who violate infection prevention regulations. In terms of disseminating information, we found that mainstream media and influential we-media play an essential role. Based on the findings, we summarized the formation mechanism of route information disclosure-caused CV and proposed three practical suggestions-namely, promote the publicity of the media field with the help of mainstream media and influential we-media, optimize the route information collection and disclosure system, and ease public anxiety about the COVID-19 pandemic. To our knowledge, this study is one of the first to focus on CV on social media during the COVID-19 pandemic. We believe that our findings can help governments better carry out pandemic prevention and control measures on a global scale.

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Author Community:

  • [ 1 ] [Lian, Ying]Commun Univ China, Sch Journalism, 1 Dingfuzhuang East St, Beijing 100024, Peoples R China
  • [ 2 ] [Zhou, Yueting]Commun Univ China, Sch Journalism, 1 Dingfuzhuang East St, Beijing 100024, Peoples R China
  • [ 3 ] [Lian, Xueying]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Dong, Xuefan]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 5 ] [Dong, Xuefan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China

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Source :

HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS

Year: 2022

Issue: 1

Volume: 9

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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