Tracking citizen's concerns during COVID-19 pandemic

Soon Ae Chun, Alen Chih Yuan Li, Amir Toliyat, James Geller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st Annual International Conference on Digital Government Research
Subtitle of host publicationIntelligent Government in the Intelligent Information Society, DGO 2020
EditorsSeok-Jin Eom, Jooho Lee
PublisherAssociation for Computing Machinery
Pages322-323
Number of pages2
ISBN (Electronic)9781450387910
DOIs
StatePublished - Jun 15 2020
Event21st Annual International Conference on Digital Government Research: Intelligent Government in the Intelligent Information Society, DGO 2020 - Seoul, Korea, Republic of
Duration: Jun 15 2020Jun 19 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference21st Annual International Conference on Digital Government Research: Intelligent Government in the Intelligent Information Society, DGO 2020
Country/TerritoryKorea, Republic of
CitySeoul
Period6/15/206/19/20

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • Covid-19
  • Degree of Concern
  • Health policy
  • Public health
  • Twitter mining

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