2022
DOI: 10.1002/poi3.316
|View full text |Cite
|
Sign up to set email alerts
|

Accepting but not engaging with it: Digital participation in local government‐run social credit systems in China

Abstract: Over the past decade, China's central and municipal governments have consistently supported the development of social credit systems (SCSs). While research has highlighted the Chinese public's high approval and backing of SCSs, their engagement with these digital projects has not been fully explored. Based on 44 semi‐structured interviews, our research examines Chinese citizens' digital participation in government‐run SCSs at the local level. Our findings suggest that, despite perceiving SCSs as accepting and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 32 publications
0
4
0
Order By: Relevance
“…These systems, developed by state agencies at both the central and the local levels of government, have garnered attention and even been labelled as ‘Orwellian’. However, their current application is limited to provincial and local pilot projects (62 projects as of 2022) (Drinhausen & Brussee, 2021; Li & Kostka, 2022), which vary in their scope of application and embeddedness in social life (Creemers, 2018; Liu, 2019), such as the Hangzhou government's Qianjiang Score (钱江分) and the Jasmine Score (茉莉分) of the Fuzhou provincial government. While some projects are less technologically intensive, as in Rongcheng (Gan, 2019), more advanced technology is used in Shenzhen (Creemers, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…These systems, developed by state agencies at both the central and the local levels of government, have garnered attention and even been labelled as ‘Orwellian’. However, their current application is limited to provincial and local pilot projects (62 projects as of 2022) (Drinhausen & Brussee, 2021; Li & Kostka, 2022), which vary in their scope of application and embeddedness in social life (Creemers, 2018; Liu, 2019), such as the Hangzhou government's Qianjiang Score (钱江分) and the Jasmine Score (茉莉分) of the Fuzhou provincial government. While some projects are less technologically intensive, as in Rongcheng (Gan, 2019), more advanced technology is used in Shenzhen (Creemers, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Conversely, citizens are likely to have less favourable opinions of SCSs once they gain user experience (Liu, 2022). Despite high approval rates, research has identified a ‘participation gap’ in SCSs, driven by factors such as limited awareness, reluctance to maintain scoring systems, uncertainties about calculation analytics, questions of voluntariness, unappealing benefits and data privacy concerns (Li & Kostka, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The most consequential and well-known of these in China is the nation-wide “Social Credit Blacklist System” that identifies, shames, and restrains “untrustworthy” businesses and individuals for breaking specific laws and regulations (Trauth-Goik & Liu, 2022). Municipal governments have meanwhile been charged with transforming the virtue of “trustworthiness” into more nuanced evaluative criteria through the creation of their own respective Blacklists/Redlists, as well as scoring and rating systems for individuals (Li & Kostka, 2022). Only recently have scholars attempted to conceptualize and explain how the SCSP actually operates as an “ecosystem” (Creemers, 2018) or “system of systems” (Drinhausen & Brussee, 2021), that builds from and coheres with a network of existing state programs (Tsai et al, 2021), that is, a governance infrastructure.…”
Section: Introductionmentioning
confidence: 99%
“…This ruling has brought a close to the most extensive of lower-tier social credit experiments. Today most local level social credit systems based on rating or scoring of individuals are “opt in,” and function more like loyalty reward programs with reportedly low rates of participation (Drinhaussen & Brussee, 2021; Li & Kostka, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Public participation and social media: The literature lacks in discussing e-participation in comprehending citizens' expectations of public participation [16,[41][42][43][44]. The security, privacy, and nepotism problems should be addressed in the literature to successfully implement social media utilization and e-voting systems [40,45,46].…”
mentioning
confidence: 99%