A Framework for Government Response to Social Media Participation in Public Policy Making: Evidence from China
Shihong Weng,
Gary Schwarz,
Susan Schwarz and
Ben Hardy
International Journal of Public Administration, 2021, vol. 44, issue 16, 1424-1434
Abstract:
This article develops a conceptual framework to understand government response to citizens’ social media participation in public policy making and identifies four participation-response archetypes: the Ostrich, the Cuckoo, the Queen Bee, and the Mandarin Duck modes. Drawing on analysis of 136 cases in China, the Cuckoo mode, in which public opinions are pre-expressed and government is reactive, was the predominant response observed. Incidents of the Ostrich mode, avoiding or denying citizen voice, occur but are declining, while the Queen Bee mode of government-led communication is increasing. The Mandarin Duck mode, characterized by high levels of online political participation by both citizens and government, was rare. The four modes offer a way of classifying government response to social media political participation and enable governments to more effectively integrate the views of citizens into the policy-making process.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01900692.2020.1852569 (text/html)
Access to full text is restricted to subscribers.
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:taf:lpadxx:v:44:y:2021:i:16:p:1424-1434
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lpad20
DOI: 10.1080/01900692.2020.1852569
Access Statistics for this article
International Journal of Public Administration is currently edited by Ali Farazmand
More articles in International Journal of Public Administration from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().