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The discontent of social scoring through state surveillance using the Chinese social credit system as a case study

Many governments worldwide, particularly in democratic countries, are rapidly implementing surveillance technologies and expanding their surveillance programs, causing widespread concern. Although these governments claim to use this technology exclusively for ensuring safety and security of citizens...

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Main Author: Van Zyl, Danielle
Other Authors: Georg, Co-Pierre
Format: Thesis
Language:English
English
Published: School of Economics 2026
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access_status_str Open Access
author Van Zyl, Danielle
author2 Georg, Co-Pierre
author_browse Georg, Co-Pierre
Van Zyl, Danielle
author_facet Georg, Co-Pierre
Van Zyl, Danielle
author_sort Van Zyl, Danielle
collection Thesis
description Many governments worldwide, particularly in democratic countries, are rapidly implementing surveillance technologies and expanding their surveillance programs, causing widespread concern. Although these governments claim to use this technology exclusively for ensuring safety and security of citizens, it has also facilitated unchecked control and power abuse by the state. The COVID-19 pandemic made many such abuses glaringly evident. Governments and private companies have partnered to create advanced surveillance programs that generate unprecedented amounts of personal data. This literature review explores the increased use and advancement of state surveillance systems worldwide and the extent to which citizens are identified and tracked. Social credit scoring systems are understood using the Chinese Social Credit Scoring System (CSCSS) as a case study. This paper evaluates the potential use of social scoring systems to enhance the state's surveillance capabilities to influence, control, and extend its power over citizens. The paper explores the current limitations of the CSCSS and analyses the creation of similar future systems in the West. State-controlled scoring systems can completely change the state's role in society, including how it governs and enforces legislation. Analysing the CSCSS highlights the difficulty of creating fair and integrated social credit systems that use incentive mechanisms to alter behaviour. The potential harms of a social credit system to citizens are vast. Concerns about individual privacy and the abuse of power are valid; however, the unfair treatment of minorities and the oppression of political opponents are additional concerns under algorithmic rule. Current regulation is insufficient to protect citizens' privacy as surveillance scoring programs become more far-reaching and invasive over time.
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provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
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spelling oai:open.uct.ac.za:11427/42781 The discontent of social scoring through state surveillance using the Chinese social credit system as a case study Van Zyl, Danielle Georg, Co-Pierre COVID-19 Chinese Social Credit Scoring System Many governments worldwide, particularly in democratic countries, are rapidly implementing surveillance technologies and expanding their surveillance programs, causing widespread concern. Although these governments claim to use this technology exclusively for ensuring safety and security of citizens, it has also facilitated unchecked control and power abuse by the state. The COVID-19 pandemic made many such abuses glaringly evident. Governments and private companies have partnered to create advanced surveillance programs that generate unprecedented amounts of personal data. This literature review explores the increased use and advancement of state surveillance systems worldwide and the extent to which citizens are identified and tracked. Social credit scoring systems are understood using the Chinese Social Credit Scoring System (CSCSS) as a case study. This paper evaluates the potential use of social scoring systems to enhance the state's surveillance capabilities to influence, control, and extend its power over citizens. The paper explores the current limitations of the CSCSS and analyses the creation of similar future systems in the West. State-controlled scoring systems can completely change the state's role in society, including how it governs and enforces legislation. Analysing the CSCSS highlights the difficulty of creating fair and integrated social credit systems that use incentive mechanisms to alter behaviour. The potential harms of a social credit system to citizens are vast. Concerns about individual privacy and the abuse of power are valid; however, the unfair treatment of minorities and the oppression of political opponents are additional concerns under algorithmic rule. Current regulation is insufficient to protect citizens' privacy as surveillance scoring programs become more far-reaching and invasive over time. 2026-01-30T10:32:31Z 2026-01-30T10:32:31Z 2025 2026-01-30T10:26:56Z Thesis / Dissertation Masters MPhil http://hdl.handle.net/11427/42781 en eng application/pdf School of Economics Faculty of Commerce University of Cape Town
spellingShingle COVID-19
Chinese Social Credit Scoring System
Van Zyl, Danielle
The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
thesis_degree_str Master's
title The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
title_full The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
title_fullStr The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
title_full_unstemmed The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
title_short The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
title_sort discontent of social scoring through state surveillance using the chinese social credit system as a case study
topic COVID-19
Chinese Social Credit Scoring System
url http://hdl.handle.net/11427/42781
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