ABSTRACT

The Coronavirus 2019 (COVID-19) outbreak represents the first time that an international health crisis of this level has been experienced in the digital age. This research aims to determine the causal configurations of different types of content that led to a high rate of dissemination. Firstly, we identify possible explanatory variables of information and knowledge dissemination through Twitter. The variables were organised into two blocks (content richness and psychological content). An analysis was then performed of two Twitter accounts (official vs. unofficial) using Qualitative Comparative Analysis. For the unofficial source, the results reveal the importance of a combination of emotional, identifying, and video content factors. For the official account, in contrast, the dissemination is determined by the absence of emotional, identifying, and untrustworthy content and the presence of image content. These configurations are useful for public and private management of a health crisis.

摘要

2019 年冠状病毒 (COVID-19) 的爆发是数字时代首次经历这种级别的国际健康危机。本研究旨在确定导致高传播率的不同类型内容的因果配置。首先，我们确定了通过 Twitter 进行信息和知识传播的可能解释变量。变量被组织成两个块（内容丰富度和心理内容）。然后使用定性比较分析对两个 Twitter 帐户（官方与非官方）进行分析。对于非官方来源，结果揭示了情感、识别和视频内容因素相结合的重要性。相比之下，对于公众号来说，传播是由缺乏情感、认同、以及不可信的内容和图像内容的存在。这些配置对于公共和私人管理健康危机很有用。