Polarisation in Information Ethics: The Debates Between Privacy and Common Goods in the Chinese Social Credit System
Zhiwen Zheng () and
Babita Bhatt ()
Additional contact information
Zhiwen Zheng: Australian National University
Babita Bhatt: Australian National University
A chapter in Causes and Symptoms of Socio-Cultural Polarization, 2022, pp 233-252 from Springer
Abstract:
Abstract This paper explores polarisation in information ethics through the case study of China’s Social Credit System (SCS), a data-powered, national reputation system which that aims to monitor, assess, and shape the behaviour of Chinese citizens and enterprises. Information ethics provides a normative framework to evaluate the role of technology in the development of a good society. However, the advent of big data has created polarisation on the ethical principles that should guide the storage, monitoring and tracking of big data. We situate this polarised debate in two ethical approaches: the common good approach and the individual liberty approach and apply the insights from these two approaches to SCS. The common good perspective views SCS as an important approach for cultivating good citizenship behaviour and promoting common good such as social stability and good governance. In contrast, the individual liberty perspective views SCS as a hindrance to individual autonomy and liberties. We discuss the implications of these findings using the ‘contextual integrity’ framework developed by Nissenbaum (Wash Law Rev 119(121):154–155, 2004; Privacy in context: technology, policy, and the integrity of social life. Stanford University Press, 2009) and suggest avenues for future research.
Keywords: Information ethics; Polarization; Privacy; Common good; Big data (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:sprchp:978-981-16-5268-4_10
Ordering information: This item can be ordered from
http://www.springer.com/9789811652684
DOI: 10.1007/978-981-16-5268-4_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().