Quantitative Evaluation of the Privacy Policy Framework of Open Government Data Platforms
[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 enti-ty 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 effec-tiveness".[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.
open government dataprivacy protectionLDA2Vec topic modelnamed entity recognitionPMC index model
万方数据
维普
