Research on Chinese data sovereignty policy based on LDA model and policy instruments

Authors

Han QIAO, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Junru XU, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing 100190, China

Keywords

data sovereignty,data security,policy instruments,Latent Dirichlet Allocation (LDA)

Document Type

Policy & Management Research

Abstract

Data sovereignty has become an important component of national sovereignty in the dual context of the digital economy development and the overall national security concept. Major countries and regions are actively carrying out data sovereignty strategic deployment and engaging in fierce competition in data resources, data technology, and data rules. This work adopts the policy text analysis method to study China’s data sovereignty policy, and employs the LDA model and policy instruments to quantitatively analyze the process evolution and thematic characteristics of China’s data sovereignty policy. Drawing on these findings, this study comprehensively considers the global data sovereignty policy and puts forward four policy recommendations: actively lead and participate in the formulation of international rules, optimize the data export security assessment process, improve the standard contract template for personal information export, and strengthen the legal protection of data security.

First page

498

Last Page

508

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

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Recommended Citation

QIAO, Han and XU, Junru (2024) "Research on Chinese data sovereignty policy based on LDA model and policy instruments," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39 : Iss. 3 , Article 7.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20231115001
Available at: https://bulletinofcas.researchcommons.org/journal/vol39/iss3/7