Does disseminating scientific information on social media promote public health during the COVID-19 pandemic?

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mingzhe Quan, Chenwei Zhang
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Abstract

Countries worldwide are transitioning their emergency response activities into long-term management of COVID-19. One promising strategy to mitigate the pandemic is combining the widespread use of social media with the potential impact of scientists on science education to create healthier information ecosystems. This study analyzed data from 189 online polls involving 1,391,706 participants who are either Sina Weibo or Tencent WeChat users to explore the impact of scientific information disseminated on social media on public health. This study aimed to address the following questions: (1) Does scientific information disseminated on social media help its audiences avoid becoming infected with COVID-19? (2) To what extent does scientific information make a difference in the infection rate of its audiences? Our study found that the COVID-19 un-infection rate of the audiences receiving scientific information is significantly higher than that of the general social media users. There is a significant and lasting positive correlation between the dissemination of scientific information and the un-infection rate of its audiences. We suggest that creating healthier information ecosystems should be integrated into the long-term management of COVID-19, as updating the public's beliefs about the pandemic is fundamental to mitigating the ongoing threat of the COVID-19 pandemic.

Abstract Image

在 COVID-19 大流行期间,在社交媒体上传播科学信息是否能促进公众健康?
世界各国正在将其应急活动过渡到 COVID-19 的长期管理。缓解这一流行病的一个有前途的策略是将社交媒体的广泛使用与科学家对科学教育的潜在影响结合起来,以创建更健康的信息生态系统。本研究分析了 189 项在线投票的数据,涉及 1,391,706 名新浪微博或腾讯微信用户,以探讨社交媒体上传播的科学信息对公众健康的影响。本研究旨在解决以下问题:(1) 社交媒体上传播的科学信息是否有助于受众避免感染 COVID-19? (2) 科学信息在多大程度上影响了受众的感染率?我们的研究发现,接受科学信息的受众的 COVID-19 解除感染率明显高于普通社交媒体用户。科学信息的传播与受众的未感染率之间存在着明显而持久的正相关关系。我们建议,应将创建更健康的信息生态系统纳入 COVID-19 的长期管理中,因为更新公众对该流行病的认识是减轻 COVID-19 流行病持续威胁的基础。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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