COVID-۱۹ information dissemination via social media: Content analysis of Instagram posts during the COVID-۱۹ outbreak

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 64

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJIMI-12-1_003

تاریخ نمایه سازی: 14 آذر 1402

چکیده مقاله:

Introduction: Social media platforms provide easy access to an unprecedented volume of information which could influence the awareness and perception of people during public health crises. The current study aims to explore the trends and content of the posts on Instagram. Material and Methods: We performed a retrospective content analysis of available public messages posted on Instagram. We collected data between ۲۳ January ۲۰۲۰ and ۲۵ March ۲۰۲۰. The inclusion criteria included an Instagram post with a hashtag related to Coronavirus (i.e. # “Corona” and # “Coronavirus”, in the Persian language). Persian hashtags were used for retrieving posts. All posts were categorized into seven categories. We performed descriptive statistics with Microsoft Excel ۲۰۱۹ and SPSS version ۲۶. Results: A total of ۴۲۸۰ posts were extracted, out of which ۱۲۸۱ were categorized into seven main categories including News (n=۲۰۵, ۲۶.۷%), Criticism (n=۱۳۶, ۱۷.۷%), Education (n=۱۱۲, ۱۴.۶%), Coronavirus’s impact on the healthcare system (n=۱۰۰, ۱۳%), Combating Coronavirus (n=۹۸, ۱۲.۸%), Coronavirus’s impact on society (n=۸۹, ۱۱.۶%), Joke (n=۲۸, ۳.۶%). Conclusion: Our findings revealed that the trend of posts on social media was influenced by factors such as the nature of the information sources as well as social and political occasions. This study provides insight into health dissemination on social media for future responses to public health crises.

نویسندگان

Nazanin Jannati

Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Canada- Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Saber Amirzadeh Googhari

Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Sareh Keshvardoost

Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Atiyeh Vaezipour

RECOVER Injury Research Center, The University of Queensland, Brisbane, Australia