期刊
LANCET DIGITAL HEALTH
卷 3, 期 3, 页码 E175-E194出版社
ELSEVIER
DOI: 10.1016/S2589-7500(20)30315-0
关键词
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This scoping review analyzed 81 peer-reviewed studies on COVID-19 and social media, identifying five major public health themes. The study also highlighted the lack of research on machine learning applications and real-time surveillance using social media data for COVID-19.
With the onset of the COVID-19 pandemic, social media has rapidly become a crucial communication tool for information generation, dissemination, and consumption. In this scoping review, we selected and examined peer-reviewed empirical studies relating to COVID-19 and social media during the first outbreak from November, 2019, to November, 2020. From an analysis of 81 studies, we identified five overarching public health themes concerning the role of online social media platforms and COVID-19. These themes focused on: surveying public attitudes, identifying infodemics, assessing mental health, detecting or predicting COVID-19 cases, analysing government responses to the pandemic, and evaluating quality of health information in prevention education videos. Furthermore, our Review emphasises the paucity of studies on the application of machine learning on data from COVID-19-related social media and a scarcity of studies documenting real-time surveillance that was developed with data from social media on COVID-19. For COVID-19, social media can have a crucial role in disseminating health information and tackling infodemics and misinformation.
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