TY - GEN
T1 - Tracking citizen's concerns during COVID-19 pandemic
AU - Chun, Soon Ae
AU - Li, Alen Chih Yuan
AU - Toliyat, Amir
AU - Geller, James
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/6/15
Y1 - 2020/6/15
N2 - 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.
AB - 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.
KW - Covid-19
KW - Degree of Concern
KW - Health policy
KW - Public health
KW - Twitter mining
UR - http://www.scopus.com/inward/record.url?scp=85086889057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086889057&partnerID=8YFLogxK
U2 - 10.1145/3396956.3397000
DO - 10.1145/3396956.3397000
M3 - Conference contribution
AN - SCOPUS:85086889057
T3 - ACM International Conference Proceeding Series
SP - 322
EP - 323
BT - Proceedings of the 21st Annual International Conference on Digital Government Research
A2 - Eom, Seok-Jin
A2 - Lee, Jooho
PB - Association for Computing Machinery
T2 - 21st Annual International Conference on Digital Government Research: Intelligent Government in the Intelligent Information Society, DGO 2020
Y2 - 15 June 2020 through 19 June 2020
ER -