From Internet to Social Safety Net: The Policy Consequences of Online Participation in China

Jiang, Junyan; Meng, Tao; Zhang, Qing

doi:10.2139/ssrn.2975456

Cited by 17 publications

(17 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The objective of topic modeling is to extract latent semantic topics from large volumes of textual documents (i.e., corpora). Because of this feature, topic modeling has been used as an analytical tool in various fields of study (Haans and van Witteloostuijn ; Jiang, Meng and Zhang ; Lauderdale and Clark ).…”

Section: Methodsmentioning

confidence: 99%

Topic Modeling the Research‐Practice Gap in Public Administration

Walker

Chandra

Zhang

et al. 2019

Public Administration Review

View full text Add to dashboard Cite

The possible existence of a research-practice gap is the topic of a long-standing debate in the field of public administration. In this Viewpoint essay, the authors examine the agendas of scholars and practitioners using the topic modeling technique of computational social science. Topic modeling a content analysis of 35 topics identified in Public Administration Review and PA Times (3,796 articles) showed that just over 50 percent of topics were common to both groups, indicating shared interests. There were, however, topics that the two groups distinctly focused on. Moreover, scholars and practitioners attached significant differences to the weights allocated to the prominent topics in their writing. Taken together, these findings indicate that topic modeling can shed new light on the research-practice gap in public administration. Jiasheng Zhang is a PhD candidate in the Askew School of Public Administration, Florida State University, and senior research associate at City University of Hong Kong. He studies public management (public service performance, innovation, and collaborative governance) and public policy (sustainability policy). He is well trained in quantitative methods, including experimental design and big data. research examines questions of strategy and performance in social innovation/social entrepreneurship and public policy and their linkages to sustainable development. He is passionate about applying novel methods, including quantitative text analysis, computational linguistics, and computational social sciences techniques. of Hong Kong. His research examines questions of management and performance in public organizations, and he seeks to use novel research methodologies to explore those issues.

show abstract

Section: Methodsmentioning

confidence: 99%

Topic Modeling the Research‐Practice Gap in Public Administration

Walker

Chandra

Zhang

et al. 2019

Public Administration Review

View full text Add to dashboard Cite

show abstract

“…This extends necessary inquiry into who specifically is ‘looped into’ digitally enhanced decision-making processes as well as which means they support to what ends (Ananny and Crawford, 2018; Williamson, 2014), drawing attention to alternative approaches to digital system design and governance that differ to that of Shenzhen. Overall, the accelerating technical capabilities together with the centralisation trend that we analyse in this paper raise urgent questions for future research into how the problematic potentials of emerging digital governance systems in an authoritarian state can and continue to be negotiated between different actors (Caprotti and Liu, 2020; Cowley et al, 2018; Jiang et al, 2019; Kostka, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Since the 1990s, the use of digital information technologies to optimise and transform government services has been discussed as part of the concept of e-government, which began with the trend of state institutions creating Internet websites in order to share information and move some public service delivery online (Jiang et al, 2019; Liou, 2007). More recently, the advent of big data – often characterised by numerous dimensions such as volume, velocity, variety and veracity (Kitchin and McArdle, 2016) – and artificial intelligence (AI) presents governments with unprecedented possibilities for data collection and analysis.…”

Section: Introductionmentioning

confidence: 99%

Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China

Große-Bley

Kostka

2021

Big Data & Society

View full text Add to dashboard Cite

Chinese cities are increasingly using digital technologies to address urban problems and govern society. However, little is known about how this digital transition has been implemented. This study explores the introduction of digital governance in Shenzhen, one of China's most advanced smart cities. We show that, at the local level, the successful implementation of digital systems faces numerous hurdles in long-standing data management and bureaucratic practices that are at least as challenging as the technical problems. Furthermore, the study finds that the digital systems in Shenzhen entail a creeping centralisation of data that potentially turns lower administrative government units into mere users of the city-level smart platforms rather than being in control of their own data resources. Smart city development and big data ambitions thereby imply shifting stakeholder relations at the local level and also pull non-governmental stakeholders, such as information technology companies and research institutions, closer to new data flows and smart governance systems. The findings add to the discussion of big data-driven smart systems and their implications for governance processes in an authoritarian context.

show abstract

“…R. Hough (2012), après avoir distingué les différentes fonctions que pourrait remplir un système d'epétitionnement, note que dans la réalité, la plupart des systèmes existants ne permettent pas d'influencer les résultats des débats parlementaires ou politiques, mais qu'ils jouent un rôle en renforçant le lien entre le Parlement et les citoyens et citoyennes. De même, des scientifiques travaillant sur des systèmes et des pays différents y voient un moyen pour l'Union européenne de « faire participer » (Mosca et Santucci, 2009), un outil permettant aux autorités d'obtenir un retour (« feedback ») sur leurs politiques (Panagiotopoulos, Elliman, 2012), un instrument au service de la légitimité des institutions représentatives (Bochel, 2013), un moyen simple et à faible coût pour connaître l'opinion de la population (Puschmann et al, 2017), une forme de sismographe de l'opinion (Morva, 2016), une source d'information à développer (Dumas et al, 2017), voire, dans le cas de la Chine, un instrument qui permettrait une meilleure écoute de la population et une meilleure connaissance des problèmes soulevés (Jiang, Meng, Zhang, 2019 ;Wang, Zhong, 2020). Certains travaux proposent du reste de mettre en place des outils d'analyse automatique des pétitions en vue d'en faire des outils au service de l'action politique, sur le modèle des sondages d'opinion (Hagen et al, 2015(Hagen et al, , 2018Karpf, 2016 ;Clark, Morris, Lomax, 2018).…”

Section: L'e-pétitionnement Et La Problématique Des Effets De La Part...unclassified

Introduction. La participation politique en ligne au révélateur du pétitionnement électronique

Contamin¹,

Kies²,

Paye³

et al. 2021

Participations

View full text Add to dashboard Cite

From Internet to Social Safety Net: The Policy Consequences of Online Participation in China

Cited by 17 publications

References 26 publications

Topic Modeling the Research‐Practice Gap in Public Administration

Topic Modeling the Research‐Practice Gap in Public Administration

Big Data Dreams and Reality in Shenzhen: An Investigation of Smart City Implementation in China

Introduction. La participation politique en ligne au révélateur du pétitionnement électronique

Contact Info

Product

Resources

About