理论研究

基于语义分析的政府开放数据平台隐私政策量化评价研究

  • 陈美 ,
  • 曹语嫣
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  • 中南财经政法大学公共管理学院 武汉 430073
陈美,副教授,博士,硕士生导师,E-mail:chenmei672236@163.com;曹语嫣,硕士研究生。

收稿日期: 2023-06-27

  修回日期: 2023-08-24

  网络出版日期: 2024-01-16

基金资助

本文系国家社会科学重大项目“面向数字化发展的公共数据开放利用体系与能力建设研究”(项目编号:21&ZD337) 研究成果之一。

Quantitative Evaluation of the Privacy Policy Framework of Open Government Data Platforms

  • Chen Mei ,
  • Cao Yuyan
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  • School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073

Received date: 2023-06-27

  Revised date: 2023-08-24

  Online published: 2024-01-16

摘要

[目的/意义]在政府开放数据持续推进的过程中,如何确保个人隐私的安全性成为重要课题。系统梳理政府开放数据平台隐私政策,为推动政府开放数据和隐私保护的平衡发展提供参考和借鉴。[方法/过程]以15个省级政府开放数据平台隐私政策(211条政策细则)为研究样本,综合运用LDA2Vce主题模型、命名实体识别以及PMC指数模型,从“政策主题—政策客体—政策效力”3个维度对各省政府开放数据平台隐私政策进行系统性梳理和量化评价。[结果/结论]我国政府数据开放平台隐私政策存在政策主题有待细化、政策客体参与失衡、政策效力仍需提升等问题,并提出相应的对策建议。

本文引用格式

陈美 , 曹语嫣 . 基于语义分析的政府开放数据平台隐私政策量化评价研究[J]. 图书情报工作, 2024 , 68(1) : 65 -76 . DOI: 10.13266/j.issn.0252-3116.2024.01.006

Abstract

[Purpose/Significance] In the process of the continuous promotion of open government data, how to ensure the security of personal privacy has become an important issue. The privacy policies of the platforms are systematically sorted out to provide references for promoting the balanced development of open government data and privacy protection. [Method/Process] This paper took the privacy policies of 15 provincial open government data platforms (211 rules) as research samples, comprehensively adopted the LDA2Vec topic model, named entity recognition and PMC index model to systematically sort out and quantitatively evaluate the privacy policies of provincial open government data platforms from three dimensions of “policy theme - policy object - policy effectiveness”.[Result/Conclusion] Privacy policy in China’s open government data platforms has some problems, such as unspecific policy theme, unbalanced participation of policy object, and weak policy effectiveness. At last, it puts forward some corresponding countermeasures and suggestions.

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