Document Type : Research Paper

Authors

1 Assistant Professor in Department of Civil Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran (Corresponding Author: e.kashi@iau-shahrood.ac.ir)

2 PhD in Business Management- Marketing Management, Semnan University, Semnan, Iran

Abstract

News and rumors about the prevalence of corona virus on social media have a significant impact on people. The aim of this study is to examine the topics discussed by people about corona disease in social media from the beginning of corona prevalence to the present day. The research data were collected from people’s comments in posts related to Corona News on Instagram and analyzed using the method of text mining and clustering. Based on the results of the research, the topics of discussion of the citizens were divided into 10 clusters, which are: Lack of sanitary equipment, lack of attention to quarantine, news and rumors, mental condition, information about symptoms, prevention, control and treatment, government and public actions, lack of personal hygiene, death rate in patients and burial, closure of educational activities And economic problems. Then they were compared with the issues in December and January, when some issues such as access to vaccines, hourly traffic restrictions and the mutated virus were added to the concerns of the people, and some of them were addressed by government measures.

Keywords

سمیع‌زاده، رضا و محمودی سعیدآباد، الناز. (1397). کاربرد الگوریتم‌های یادگیری ماشین در متن‌کاوی با رویکرد آنالیز احساس. مدیریت فناوری اطلاعات، 10 (2)، 330- 309.
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استناد به این مقاله: کاشی،  احسان، شهریاری، مهری. (1400). پایش چالش‌های ذهنی مردم در فضای مجازی در دوران کرونا، مطالعات مدیریت کسب وکار هوشمند، 10(37)، 215-232.
DOI: 10.22054/IMS.2021.53311.1751
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