scholarly journals China's Social Credit System: Data-Driven Governance for a ‘New Era’

2019 ◽  
Vol 118 (809) ◽  
pp. 209-214
Author(s):  
Larry Catá Backer
Keyword(s):  
Data Driven ◽  
Credit System ◽  
New Era ◽  
Control Behavior ◽  
Social Credit ◽  
System Data

“Social credit redirects the power of data away from markets and strengthens the state's ability to comprehensively control behavior.” First in a series on ways of governing.

Datafication, dataveillance, and the social credit system as China’s new normal

2019 ◽  
Vol 43 (6) ◽  
pp. 952-970 ◽  
Author(s):  
Claire Seungeun Lee
Keyword(s):  
Personal Narratives ◽  
Online Discussions ◽  
Data Driven ◽  
Credit System ◽  
New Normal ◽  
Content Type ◽  
Credit Score ◽  
Social Credit ◽  
The Social ◽  
Chinese State

Purpose The purpose of this paper is twofold: first, to explore how China uses a social credit system as part of its “data-driven authoritarianism” policy; and second, to investigate how datafication, which is a method to legitimize data collection, and dataveillance, which is continuous surveillance through the use of data, offer the Chinese state a legitimate method of monitoring, surveilling and controlling citizens, businesses and society. Taken together, China’s social credit system is analyzed as an integrated tool for datafication, dataveillance and data-driven authoritarianism. Design/methodology/approach This study combines the personal narratives of 22 Chinese citizens with policy analyses, online discussions and media reports. The stories were collected using a scenario-based story completion method to understand the participants’ perceptions of the recently introduced social credit system in China. Findings China’s new social credit system, which turns both online and offline behaviors into a credit score through smartphone apps, creates a “new normal” way of life for Chinese citizens. This data-driven authoritarianism uses data and technology to enhance citizen surveillance. Interactions between individuals, technologies and information emerge from understanding the system as one that provides social goods, using technologies, and raising concerns of privacy, security and collectivity. An integrated critical perspective that incorporates the concepts of datafication and dataveillance enhances a general understanding of how data-driven authoritarianism develops through the social credit system. Originality/value This study builds upon an ongoing debate and an emerging body of literature on datafication, dataveillance and digital sociology while filling empirical gaps in the study of the global South. The Chinese social credit system has growing recognition and importance as both a governing tool and a part of everyday datafication and dataveillance processes. Thus, these phenomena necessitate discussion of its consequences for, and applications by, the Chinese state and businesses, as well as affected individuals’ efforts to adapt to the system.

scholarly journals Benign dataveillance? Examining novel data-driven governance systems in India and China

First Monday ◽  
2019 ◽  
Author(s):  
Payal Arora
Keyword(s):  
Online Shopping ◽  
Data Driven ◽  
Credit System ◽  
Employment History ◽  
Global Era ◽  
Welfare Benefits ◽  
Social Credit ◽  
Governance Systems ◽  
Digital Identities ◽  
India And China

This study examines novel data-driven models of governance emerging from the Global South, specifically India and China, enabled by Net-based technologies. The first model, the biometric identity scheme or ‘Aadhaar’ project in India consolidates citizens’ digital identities to enable access to government services such as welfare benefits. The second model is China’s Social Credit System. By combining the citizens’ financial records, online shopping data, social media behaviour and employment history, the system will produce a personal score for each citizen. This rating system will be used to measure the citizens’ trustworthiness. This research unpacks these value-embedded systems posited as digital innovations to strengthen citizenship through new forms of political participation, inclusion and representation. In doing so, we are confronted with what constitutes as “democracy” in this datafied and global era, beyond the universalisms that are on offer today.

scholarly journals From Datafication to Data State: Making Sense of China’s Social Credit System and Its Implications

2021 ◽  
pp. 1-35
Author(s):  
Anne S. Y. Cheung ◽  
Yongxi Chen
Keyword(s):  
Social Control ◽  
The State ◽  
Data Driven ◽  
Credit System ◽  
Multiple Functions ◽  
Making Sense ◽  
Social Credit ◽  
Governance Model ◽  
Democratic Societies ◽  
And Control

We live in an age of datafication wherein nearly all aspects of our lives can be transformed into data and evaluated. The authors seek to make sense of the heightened datafication-enabled social control under China’s Social Credit System (SCS) by developing the concept of the data state. A “data state” is defined as a governance model enabling the state to comprehensively monitor, evaluate, and control its subjects through datafication, leaving them little room to defend their autonomy. We identify the multiple functions of the SCS in its development up to 2020 and analyze its inherent defects, including the decontextualized evaluation of individuals and the semi-automated imposition of disproportionate punishment. We argue that, if the SCS were to fully integrate its functions and connect to other data-driven governance initiatives, it would eventually allow the data self, carefully groomed by the state, to dominate the bio-self and turn China into a data state. Whereas China’s SCS may be unique and not easily replicated elsewhere, understanding its intricacies helps to enable the citizens of democratic societies to guard against the relentless growth of datafication that may result in an invincible and irreversible ecosystem for the emergence of a data state.

Constructing a Data-Driven Society: China's Social Credit System as a State Surveillance Infrastructure

2018 ◽  
Vol 10 (4) ◽  
pp. 415-453 ◽  
Author(s):  
Fan Liang ◽  
Vishnupriya Das ◽  
Nadiya Kostyuk ◽  
Muzammil M. Hussain
Keyword(s):  
Data Driven ◽  
Credit System ◽  
Social Credit ◽  
State Surveillance

INNOVATIVE SOCIETY: A SOCIAL CREDIT SYSTEM IN CHINA

2020 ◽  
pp. 50-59
Author(s):  
Weichzhen` Gao
Keyword(s):  
Latin American ◽  
Social Life ◽  
Credit System ◽  
Educational Mission ◽  
Social Transformations ◽  
Social Credit ◽  
Road Project ◽  
Patterns Of Behavior ◽  
The One ◽  
And Behavior

The basic principles of SCS implementation are as follows: Formation of sustainable social structure and its operational management; Monitoring and correction of social transformations and behavior of the general population: transparency as a major factor in the life of an innovative society; Stimulating competition as a motivation for success. Due to the transparency of social life, different patterns of behavior in different conditions are published in the information space of the society. Accordingly, actionable life scenarios are made available to the general public, which is fulfilling an educational mission regarding adaptation mechanisms in an innovative society; the SCS system is a significant component of the national strategy of integration and consolidation of the Chinese innovation society; carrying out softpolicy foreign policy: The positive experience of the Chinese innovation society in implementing SCS is a prerequisite for expanding its area of application in Asian, African and Latin American countries, especially the countries participating in the One Belt One Road project. SCS covers all spheres of social life of the modern Chinese citizen, forms a sustainable form of accountability to the society for the content and flow of their daily activities, aspirations and preferences.

scholarly journals From Bulletin Boards to Big Data

2021 ◽  
Vol 50 (1) ◽  
pp. 39-62
Author(s):  
Christian Göbel ◽  
Jie Li
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Central Government ◽  
Developmental Trajectory ◽  
Credit System ◽  
Feedback Systems ◽  
Social Credit ◽  
Bulletin Boards ◽  
Local Decision ◽  
Set Up

Why do Chinese governments at various levels set up public complaint websites where citizen petitions and government responses can be reviewed by the general public? We argue that it is the result of two factors: strong signals sent by the central government to improve governance, and the availability of new technologies to promote policy innovation. To impress their superiors, local officials adopted newly available commercial technology to innovate existing citizen feedback systems, which presented a developmental trajectory from “openness,” “integration,” to “big data-driven prediction.” Drawing on policy documents and interviews with local politicians and administrators, we provide a chronological perspective of how technical development, central government’s signals and local decision-making have interacted in the past two decades to bring forth today’s public complaint websites. The contingent and non-teleological nature of this development can also be applied to other policies such as the social credit system.

scholarly journals The core academic and scientific disciplines underlying data-driven smart sustainable urbanism: an interdisciplinary and transdisciplinary framework

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Simon Elias Bibri
Keyword(s):  
The Body ◽  
Data Driven ◽  
New Era ◽  
The Core ◽  
Sustainable Urbanism ◽  
Scientific Disciplines ◽  
Specific Direction ◽  
Research Problems ◽  
Urban Planning And Development ◽  
Application Potential

AbstractA new era is presently unfolding wherein both smart urbanism and sustainable urbanism processes and practices are becoming highly responsive to a form of data-driven urbanism under what has to be identified as data-driven smart sustainable urbanism. This flourishing field of research is profoundly interdisciplinary and transdisciplinary in nature. It operates out of the understanding that advances in knowledge necessitate pursuing multifaceted questions that can only be resolved from the vantage point of interdisciplinarity and transdisciplinarity. This implies that the research problems within the field of data-driven smart sustainable urbanism are inherently too complex and dynamic to be addressed by single disciplines. As this field is not a specific direction of research, it does not have a unitary disciplinary framework in terms of a uniform set of the academic and scientific disciplines from which the underlying theories can be drawn. These theories constitute a unified foundation for the practice of data-driven smart sustainable urbanism. Therefore, it is of significant importance to develop an interdisciplinary and transdisciplinary framework. With that in regard, this paper identifies, describes, discusses, evaluates, and thematically organizes the core academic and scientific disciplines underlying the field of data-driven smart sustainable urbanism. This work provides an important lens through which to understand the set of established and emerging disciplines that have high integration, fusion, and application potential for informing the processes and practices of data-driven smart sustainable urbanism. As such, it provides fertile insights into the core foundational principles of data-driven smart sustainable urbanism as an applied domain in terms of its scientific, technological, and computational strands. The novelty of the proposed framework lies in its original contribution to the body of foundational knowledge of an emerging field of urban planning and development.

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