论文标题
亚洲国家的风险交流：COVID-19在Twitter上的论述
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter
论文作者
论文摘要
Covid-19已成为社交媒体上最广泛谈论的主题之一。这项研究表征了风险交流模式，通过分析来自四个亚洲国家的新颖冠状病毒的公众讨论：韩国，伊朗，越南和印度，这些爆发遭受了不同程度的爆发。时间分析表明，政府发行的官方流行阶段与COVID-19的在线关注不太吻合。这一发现要求需要通过新措施（例如局部动态）来分析公共话语。在这里，我们提出了一种自动方法，以检测局部相变并比较这些国家随着时间的流逝的主要主题的相似性。我们检查了社交媒体关注和确认的患者计数之间的时间滞后差异。对于动态，我们发现推文计数与局部多样性之间存在反向关系。
COVID-19 has become one of the most widely talked about topics on social media. This research characterizes risk communication patterns by analyzing the public discourse on the novel coronavirus from four Asian countries: South Korea, Iran, Vietnam, and India, which suffered the outbreak to different degrees. The temporal analysis shows that the official epidemic phases issued by governments do not match well with the online attention on COVID-19. This finding calls for a need to analyze the public discourse by new measures, such as topical dynamics. Here, we propose an automatic method to detect topical phase transitions and compare similarities in major topics across these countries over time. We examine the time lag difference between social media attention and confirmed patient counts. For dynamics, we find an inverse relationship between the tweet count and topical diversity.
