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  • 标题:Küresel Krizlerde Kişilik Özelliklerine Göre Sosyal Medya Algısı: COVID-19 Örneği
  • 本地全文:下载
  • 作者:Volkan ÖNGEL; Hasan Sadık TATLI ; Gözde BOZKURT
  • 期刊名称:Journal of Turkish Studies
  • 印刷版ISSN:1308-2140
  • 出版年度:2020
  • 卷号:15 Issue 4
  • 期号:Volume 15 Issue 4
  • 页码:827-851
  • DOI:10.7827/TurkishStudies.43668
  • 出版社:Turkish studies publisher
  • 摘要:The aim of the study is to determine the effect of social media sharing on individuals' perceptions in the context of COVID-19. In the research, it is tried to be understood how individuals' perceptions develop according to their personality traits by using sharing examples made on Twitter. The Five-factor personality inventory was used to determine the personality traits of users. Ethics committee permissions were obtained to collect data. The sample of the study consists of 611 people who use at least one of the social networks. According to the research findings, individuals who are open to experience see society conscious about COVID-19. Agreeable people have higher expectations of economic crisis after COVID-19. In addition, it has been concluded that individuals with neuroticism and responsibility features are in anticipation of the economic crisis after COVID-19. While the economic crisis anxiety of those with emotional balance problems is low, the people who show neuroticism and responsible personality together, have higher expectations of economic crisis. It has been concluded that extroverted and agreeable individuals experience less fear during crisis periods such as COVID-19. Individuals with neurotic and responsibility features find it meaningless to take individual precautions. Individuals' perceptions of social media emerge according to their multiple personality traits. The research differs from similar studies in terms of examining how social media users are affected by social media posts in global crises such as the COVID-19 pandemic.
  • 其他关键词:Social networks, personality characteristics, five-factor personality inventory, social media perception, binary qualitative preference models
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