[1] 狄振鹏, 姜士伟. 大数据时代政府数据开放与公民隐私保护问题研究[J]. 情报杂志, 2022, 41(2): 155-159, 118. (DI Z P, JIANG S W. Study on government data opening and citizens' privacy protection in the era of big data[J]. Journal of intelligence, 2022, 41(2): 155-159, 118.)
[2] 陈美. 政府开放数据的隐私风险评估与防控:英国的经验[J]. 中国行政管理, 2020(5): 153-159. (CHEN M. Government open data privacy risk assessment and prevention control: the British experience[J]. Chinese public administration, 2020(5): 153-159.)
[3] 陈美, 梁乙凯. 西班牙开放政府数据的隐私风险控制研究[J]. 情报杂志, 2021, 40(12): 135-142. (CHEN M, LIANG Y K. Government open data privacy risk assessment and prevention control: the Spain experience[J]. Journal of intelligence, 2021, 40(12): 135-142.)
[4] 陈美, 梁乙凯. 荷兰开放政府数据的隐私风险控制研究[J]. 情报杂志, 2022, 41(2): 169-175, 168. (CHEN M, LIANG Y K. Government open data privacy risk assessment and prevention control: the Dutch experience[J]. Journal of intelligence, 2022, 41(2): 169-175, 168.)
[5] 陈美, 梁乙凯. 日本开放政府数据中的隐私风险控制研究[J]. 情报资料工作, 2021, 42(5): 68-75. (CHEN M, LIANG Y K. Research on privacy risk control of open government data in Japan[J]. Information and documentation services, 2021, 42(5): 68-75.)
[6] 张晓娟, 王文强, 唐长乐. 中美政府数据开放和个人隐私保护的政策法规研究[J]. 情报理论与实践, 2016, 39(1): 38-43. (ZHANG X J, WANG W Q, TANG C L. Research on the policies and regulations of the open government data and personal privacy protection in the U.S. and China[J]. Information studies: theory & application, 2016, 39(1): 38-43.)
[7] 黄如花, 刘龙. 我国政府数据开放中的个人隐私保护问题与对策[J]. 图书馆, 2017(10): 1-5. (HUANG R H, LIU L. The problems and countermeasures of individual privacy protection under open government data in China[J]. Library, 2017(10): 1-5.)
[8] 杜荷花. 国外政府数据开放平台隐私保护政策的考察与借鉴[J]. 图书馆建设, 2020(3): 67-75. (DU H H. Study on privacy protection policy of foreign government data open platform[J]. Library and development, 2020(3): 67-75.)
[9] 张聪丛, 郜颍颍, 赵畅, 等. 开放政府数据共享与使用中的隐私保护问题研究——基于开放政府数据生命周期理论[J]. 电子政务, 2018(9): 24-36. (ZHANG C C, GAO Y Y, ZHAO C, et al. Research on privacy protection issues in open government data sharing and utilization: based on the open government data lifecycle theory[J]. E-government, 2018(9): 24-36.)
[10] 丁红发, 孟秋晴, 王祥, 等. 面向数据生命周期的政府数据开放的数据安全与隐私保护对策分析[J]. 情报杂志, 2019, 38(7): 151-159. (DING H F, MENG Q Q, WANG X, et al. Countermeasure analysis for data security and privacy issues of government data opening in the view of data life-cycle[J]. Journal of intelligence, 2019, 38(7): 151-159.)
[11] LEE J S, JUN S P. Privacy-preserving data mining for open government data from heterogeneous sources [EB/OL]. [2023-10-18]. https://www.sciencedirect.com/science/article/pii/S0740624X20303233.
[12] SÁNCHEZ D, VIEJO A. Personalized privacy in open data sharing scenarios [J]. Online information review, 2017, 41(3): 298-310.
[13] GAO L, ELLER C K, EGGERS A F. GDPR and the cloud: examining readability deficiencies in cloud computing providers' privacy policies [EB/OL]. [2023-09-22]. https://www.tandfonline.com/doi/full/10.1080/01442872.2022.2129046?scroll=top&needAccess=true&role=tab.
[14] 袁红, 张苏娇. “互联网+政务服务”环境下政务APP隐私政策的内容分析[J]. 现代情报, 2022, 42(3): 121-132. (YUAN H, ZHANG S J. Content analysis of the privacy policy of government affairs APP under the environment of ‘Internet+ Government services'[J]. Journal of modern information, 2022, 42(3): 121-132.)
[15] 杨瑞仙, 沈嘉宁, 许帆, 等. 社交媒体APP隐私政策评价指标体系构建及实证研究[J]. 情报理论与实践, 2023, 46(1): 81-89. (YANG R X, SHEN J N, XU F, et al. Construction of privacy policy evaluation index system for social media APPs and empirical study[J]. Information studies: theory & application, 2023, 46(1): 81-89.)
[16] 储节旺, 丁辉. 美国政府开放数据个人隐私保护政策及对我国的启示——基于52个政策文本的内容分析[J]. 图书情报工作, 2021, 65(8): 140-150. (CHU J W, DING H. Personal privacy protection policy of American government's open data and its enlightenment to China: content analysis based on 52 policy texts[J]. Library and imformation service, 2021, 65(8): 140-150.)
[17] 高凡, 杨欢. 我国省级政府数据开放平台的个人隐私保护政策比较研究[J]. 图书情报工作, 2023, 67(7): 4-12, 3. (GAO F, YANG H. A comparative study on personal privacy protection policies of China's provincial government data open patforms[J]. Library and imformation service, 2023, 67(7): 4-12, 3.)
[18] 杜荷花. 我国政府数据开放平台隐私保护评价体系构建研究[J]. 情报杂志, 2020, 39(3): 172-179. (DU H H. On construction of privacy protection evaluation system of government data open platformin China[J]. Journal of intelligence, 2020, 39(3): 172-179.)
[19] 孙瑞英, 李杰茹. 我国政府数据开放平台个人隐私保护政策评价研究[J]. 图书情报工作, 2022, 66(12): 3-16. (SUN R Y, LI J R. Research on the evaluation of personal privacy protection policies of government data open platforms in China[J]. Library and imformation service, 2022, 66(12): 3-16.)
[20] 王旭, 李雨晴. 我国个人信息保护政策文本量化研究及启示——基于“工具-效力-主题”三维框架的探析[J]. 情报科学, 2023, 41(1): 126-133, 42. (WANG X, LI Y Q. Quantitative research and enlightenment of personal information protection policy text in China: based on the three-dimensional framework of tool-effectiveness-theme'[J]. Information science, 2023, 41(1): 126-133, 42.)
[21] 程慧平, 于欢欢. 我国政务数据安全共享政策文本量化研究[J]. 情报科学, 2022, 40(1): 102-108, 40. (CHENG H P, YU H H. A quantitative study on the policy text of government data security sharing in China[J]. Information science, 2022, 40(1): 102-108, 40.)
[22] 胡吉明, 阳巧英. 我国档案公共服务政策的三维框架构建与分析[J]. 档案学通讯, 2022, (2): 39-47. (HU J M, YANG Q Y. Construction and analysis of a three-dimensional framework for archives public service policies in China[J]. Archives science bulletin, 2022, (2): 39-47.)
[23] BENNETT C J, RAAB C D. The governance of privacy: policy instruments in global perspective [M]. London: Routledge, 2003.
[24] 姚胜译, 吴丹. APP隐私政策用户友好度评价研究[J]. 信息资源管理学报, 2021, 11(1): 30-39, 58. (YAO S Y, WU D. Assessment research to APP privacy policy user-friendliness[J]. Journal of information resources management, 2021, 11(1): 30-39, 58.)
[25] 高昕, 孙远太. 基于PMC指数模型的乡村振兴政策文本量化评价[J]. 统计与决策, 2022, 38(19): 57-60.(GAO X, SUN Y T. Quantitative evaluation of rural revitalization policy texts based on the PMC index model[J]. Statistics and decision, 2022, 38(19): 57-60.)
[26] 杨慧, 杨建林. 融合LDA模型的政策文本量化分析——基于国际气候领域的实证[J]. 现代情报, 2016, 36(5): 71-81. (YANG H, YANG J L. Quantitative analysis of policy text merged with LDA model: based on the field of international climate as demonstration[J]. Journal of modern information, 2016, 36(5): 71-81.)
[27] 吴鹏, 张蒙蒙, 索金琳. 基于时空大数据演化的新冠肺炎疫情政策主题挖掘及层级扩散特征分析[J]. 情报理论与实践, 2023, 46(5): 185-192, 53.(WU P, ZHANG M M, SUO J L. Theme mining and hierarchical diffusion characteristics analysis of COVID-19 policy based on spatio-temporal big data evolution.[J]. Information studies: theory & application, 2023, 46(5): 185-192, 53.)
[28] 高杰, 张立立, 黄新平. 融合知识图谱与DTM模型的我国社区治理政策变迁研究[J]. 图书情报工作, 2022, 66(17): 47-59. (GAO J, ZHANG L L, HUANG X P. Research on the change of community governance policy in China by integrating knowledge map and DTM model[J]. Library and imformation service, 2022, 66(17): 47-59.)
[29] 刘浏, 王东波. 命名实体识别研究综述[J]. 情报学报, 2018, 37(3): 329-340. (LIU L, WANG D B. A review on bamed entity recognition[J]. Journal of the China Society for Scientific and Technical Information, 2018, 37(3): 329-340.)
[30] 刘国佳, 韩玮, 陈安. 基于三维分析框架的突发公共卫生事件应对政策量化研究——以新冠肺炎疫情为例[J]. 现代情报, 2021, 41(7): 13-26, 48. (LIU G J, HAN W, CHEN A. Quantitative study of public health emergency response policies based on a three-dimensional analysis framework: taking the COVID-19 as an example[J]. Journal of modern information, 2021, 41(7): 13-26, 48.)
[31] 赵金旭, 郑跃平. 中国电子政务隐私保护问题探究——基于70个大中城市政府网站的“隐私声明”调查[J]. 电子政务, 2016(7): 81-93. (ZHAO J X, ZHENG Y P. Exploring privacy protection issues in China's electronic government: a study based on an investigation of "privacy statements" on government websites of 70 large and medium-sized cities[J]. E-government, 2016(7): 81-93.)
[32] GRAY G, JONES M D. A qualitative narrative policy framework? Examining the policy narratives of US campaign finance regulatory reform [J]. Public policy and administration, 2016, 31(3): 193-220.
[33] HOOD C. What happens when transparency meets blame-avoidance? [J]. Public management review, 2007, 9(2): 191-210.
[34] LEE J Y-H, PANTELI N, BüLOW A M, et al. Email adaptation for conflict handling: a case study of cross-border inter-organisational partnership in East Asia [J]. Information systems journal, 2018, 28(2): 318-339.
[35] 陈美, 梁乙凯. 加拿大隐私影响评估政策:历程、内容、分析与启示[J]. 图书情报工作, 2021, 65(17): 142-151. (CHEN M, LIANG Y K. Canadian privacy impact assessment policy: history, content, analysis and implications[J]. Library and information service, 2021, 65(17): 142-151.)
[36] 夏义堃. 政府首席数据官制度的核心要义与运行分析[J]. 图书情报知识, 2020(1): 74-83. (XIA Y K. Analysis on essentials and operation of establishing government chief data officer[J]. Documentation, information & knowledge, 2020(1): 74-83.)