Deciphering China's social credit systems: Big data, surveillance, and political control
Dešifrování čínského systému společenského kreditu: Velká data, sledování a politická kontrola
diplomová práce (OBHÁJENO)
Zobrazit/ otevřít
Trvalý odkaz
http://hdl.handle.net/20.500.11956/178381Identifikátory
SIS: 249145
Kolekce
- Kvalifikační práce [17123]
Autor
Vedoucí práce
Oponent práce
Karásek, Tomáš
Fakulta / součást
Fakulta sociálních věd
Obor
International Master in Security, Intelligence and Strategic Studies (IMSISS)
Katedra / ústav / klinika
Katedra bezpečnostních studií
Datum obhajoby
14. 9. 2022
Nakladatel
Univerzita Karlova, Fakulta sociálních vědJazyk
Angličtina
Známka
Výborně
In 2014, the People's Republic of China (the PRC) launched the Social Credit Systems (SCSs or shehui xinyong tixi) with the use of big data to improve the country's low-trust social order (Creemers, 2018; Kabanov & Karyagin, 2018). This research is interested in how an authoritarian state handles civilian data and social credit rating. Given China's intricate surveillance network, the SCSs have shed light on the different surveillance approaches that have shifted from monitoring and tracking individuals to shaping their behaviours (Cho, 2020; Zeng, 2016). This dissertation conducts an analysis of how big data surveillance in the SCSs can facilitate political control in authoritarian states such as China. The use of big data in the SCSs may enhance the state's probability of detecting opponents with actionable knowledge whether to repress or co-opt target groups (Xu, 2021). Using case studies of the SCSs in Shanghai, Fuzhou, and Xiamen, this dissertation applies the process tracing case study method to uncover possible evidence that could allow the Chinese government to gain political control through targeted repression and selective co-optation. This dissertation argues that big data surveillance in the SCSs does not facilitate targeted repression because it is subject to sociotechnical limitations...