The Transparent Self Under Big Data Profiling: Privacy and Chinese Legislation on the Social Credit System

By Yongxi Chen, A. Cheung. 2017

105 citations recorded by the source corpus.

Subfields: Political Science and International Relations

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Political Science and International Relations

1. Bernhard Schölkopf
2. J. Schor
3. Anna Lauren Hoffmann
4. Steven P. Vallas

Citations in the corpus

• Causality for Machine Learning (2019, background): “In the current data-driven phase of this revolution, China is beginning to use machine learning to observe and incentivize citizens to behave in ways deemed beneficial (Chen and Cheung, 2018; Dai, 2018).”
• Critical Perspectives on Governance Mechanisms for AI/ML Systems (2020, background): “And in line with other surveillance technologies such as CCTV cameras, institutional actors are rapidly securitizing AI as a threat in itself if deployed by the wrong hands, while also advocating its use as a means to identify threats to the national polity (Cassiano, 2019; Chen & Cheung, 2017).”
• What Do Platforms Do? Understanding the Gig Economy (2020, background): “…(Ajunwa & Greene 2019, Bodie et al. 2016); in racist outcomes in evaluation or ranking systems (Eubanks 2018, Noble 2018); in a private-sector version of the Chinese social credit system (Chen & Cheung 2017); and, more generally, as a development that undermines transparency (Pasquale 2015).”