追踪COVID-19大流行期间公民关注的问题

Soon Ae Chun, Alen Chih-Yuan Li, A. Toliyat, J. Geller
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引用次数: 23

摘要

COVID-19是由冠状病毒引起的疾病,于2019年12月下旬从中国武汉开始,以确诊病例和死亡病例迅速席卷亚洲国家。在两个半月内,它开始传播到欧洲国家和美国,引发世卫组织宣布大流行。世界各国政府已宣布在特定地区和全国范围内出现公共卫生危机,并采取严厉措施遏制疾病的传播。在这场公共卫生危机中,公民通过直接和发自内心地体验疾病的传播,经历了各种各样的情绪,如怀疑、震惊、对健康的担忧、对食物供应的恐惧、焦虑、恐慌等。我们提出了一种利用Twitter数据中的公众情绪来衡量和监测公民关注程度的方法。我们的方法显示了在2019冠状病毒病公共卫生危机期间公民关注的时间和地理分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking Citizen’s Concerns during COVID-19 Pandemic
COVID-19, the disease caused by the Corona Virus, started from Wuhan, China, in late December 2019, and quickly swept the Asian countries with confirmed cases and deaths. Within two and half months, it started spreading to European countries, and to the US, triggering the pandemic declaration by WHO. Governments around the globe have declared a public health crisis in specific regions and nationwide, with drastic measures taken to contain the spread of the disease. Citizens in this public health crisis are going through a wide range of emotions, such as disbelief, shock, concerns about health, fear about food supplies, anxiety, panic, etc., through directly and viscerally experiencing the disease spreading. We present an approach to measure and monitor citizens’ concern levels using public sentiments in Twitter data. Our approach shows temporal and geographic spread of citizens’ concerns during the COVID-19 public health crisis.
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