Online citizen petitions related to COVID-19 in South Korean cities: a big data analysis

Taedong Lee (), Wooyeal Paik (), Sangyoung Lim () and Sang Yup Lee ()
Additional contact information
Taedong Lee: Yonsei University
Wooyeal Paik: Yonsei University
Sangyoung Lim: Yonsei University
Sang Yup Lee: Yonsei University

The Annals of Regional Science, 2023, vol. 71, issue 1, No 10, 205-224

Abstract: Abstract What do citizens demand of their governing bodies to cope with the spread of emerging infectious diseases after recognizing the growing danger? What are the similarities and differences in political participation via online citizen petitions regarding COVID-19 across cities with different degrees of pandemic experience? This study aims to answer these questions by examining citizen petitions regarding the COVID-19 pandemic in urban areas of South Korea. The pattern of citizens’ requests is a part of integrative socio-ecological and political systems with spatial and temporal dimensions. We compare the pattern of online citizen petitions in four Korean cities, namely Seoul, Busan, Daegu, and Incheon, some of which were epicenters of the COVID-19 outbreak. By applying relevant big data analysis techniques such as text mining, topic modeling, and network analysis, we compare the characteristics of citizen petitions on COVID-19 in the four cities, particularly whether (and how) they want financial or welfare support or COVID-19 prevention. We find that cities that experience a rapid spread are likely to have more petitions for prevention than for support. By comparison, cities without such experience are likely to have more petitions for support. This study contributes by tracing citizen and local government interactions in response to emerging infectious diseases by empirically analyzing the related big data on petitions. Policy implications suggest that urban authorities should listen to analyze and respond to the urgent needs of citizens.

JEL-codes: H75 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00168-022-01133-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:anresc:v:71:y:2023:i:1:d:10.1007_s00168-022-01133-x

Ordering information: This journal article can be ordered from
http://link.springer.com/journal/168

DOI: 10.1007/s00168-022-01133-x

Access Statistics for this article

The Annals of Regional Science is currently edited by Martin Andersson, E. Kim and Janet E. Kohlhase

More articles in The Annals of Regional Science from Springer, Western Regional Science Association Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().