COVID-19 is lasting longer than expected, which has a huge impact on the economy and on personal life. Each country has a different response method, and the damage scale is also distinct. This study aims to find out how COVID-19-related news was handled in the domestic media to seek ways to minimize the pandemic. The paper focuses on the number of news features by period and by disaster and analyzes related words based on big data. The results of the analysis are as follows. First, in the initial response phase, keywords to identify accurate sources of actual broadcast contents, fake news, social networking service (SNS), etc. were also ranked in the top 20. Second, in the active response phase, when the number of confirmed persons and the government’s countermeasures were announced, more than 100 COVID-19-related articles were issued, and the related words increased rapidly from the initial response stage. Therefore, the fact that COVID-19 has been expressed as a keyword indicates that our society is watching with great interest in the government’s response to the disease.

中文翻译：

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与COVID-19相关的媒体报道的大数据分析。

COVID-19的使用寿命比预期的更长，这对经济和个人生活产生了巨大影响。每个国家都有不同的应对方法，破坏程度也各不相同。这项研究旨在找出如何在国内媒体中处理与COVID-19相关的新闻，以寻求将流行病降至最低的方法。本文着重于按时期和灾害分类的新闻特征数量，并基于大数据分析相关词。分析结果如下。首先，在初始响应阶段，用于标识实际广播内容，虚假新闻，社交网络服务（SNS）等的准确来源的关键字也排名前20位。第二，在主动响应阶段，当宣布了确认人员和政府的对策，发表了100多篇与COVID-19相关的文章，从最初的响应阶段开始，相关词迅速增加。因此，将COVID-19表示为关键字这一事实表明，我们的社会对政府对这种疾病的反应非常感兴趣。