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社交媒体在 COVID-19 大流行期间告诉了我们什么:范围综述。

What social media told us in the time of COVID-19: a scoping review.

机构信息

School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.

Seneca Libraries, Seneca College, King City, ON, Canada.

出版信息

Lancet Digit Health. 2021 Mar;3(3):e175-e194. doi: 10.1016/S2589-7500(20)30315-0. Epub 2021 Jan 28.

Abstract

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.

摘要

随着 COVID-19 大流行的爆发,社交媒体迅速成为信息生成、传播和消费的重要沟通工具。在本次范围综述中,我们选择并研究了 2019 年 11 月至 2020 年 11 月期间首次爆发期间与 COVID-19 和社交媒体相关的同行评审实证研究。通过对 81 项研究的分析,我们确定了与在线社交媒体平台和 COVID-19 相关的五个总体公共卫生主题。这些主题侧重于:调查公众态度、识别信息疫情、评估心理健康、检测或预测 COVID-19 病例、分析政府对大流行的应对措施以及评估预防教育视频中健康信息的质量。此外,我们的综述强调了在与 COVID-19 相关的社交媒体数据上应用机器学习的研究很少,以及很少有研究记录使用社交媒体上有关 COVID-19 的实时监测数据。对于 COVID-19,社交媒体在传播健康信息、应对信息疫情和错误信息方面可以发挥关键作用。

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