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个人隐私数据治理研究：热点、趋势与前沿
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Abstract:
本文以Web of Science核心合集数据库2008~2022年发表的1061篇关于个人隐私数据治理研究的文献为研究对象，运用信息可视化软件CiteSpace，主要对文献引文聚类图谱、关键词聚类图谱、时间线图谱及文献共被引突发强度进行分析，揭示个人隐私数据治理研究领域的研究热点、趋势与前沿。分析发现，其研究热点主要聚焦于数据生命周期层面，实际运用层面与具体方法与技术层面，其研究的演化趋势主要分为三个阶段，从研究前沿上看，位置隐私、接触者追踪、自我披露、记录隐私以及在线隐私代表了在个人隐私数据治理研究领域的重要方面。对此，文章给出进一步的总结和思考，以期为个人隐私数据治理领域的深入研究提供参考。
This paper takes 1061 articles on personal privacy data governance published in Web of Science core collection database from 2008 to 2022 as the research object, and uses information visualization software CiteSpace. This paper mainly analyzes the literature citation clustering graph, keyword clustering graph, timeline graph and literature co-citation burst intensity, and reveals the research hotspots, trends and frontiers in the research field of personal privacy data governance. It is found that the research mainly focuses on the data life cycle level, the practical application level and the specific methods and technologies level, and the evolution trend of its research is mainly divided into three stages. From the research frontier, location privacy, contact tracking, self-disclosure, record privacy and online privacy represent important aspects in the research field of personal privacy data governance. In this regard, the paper gives a further summary and reflection, in order to provide a reference for the in-depth research in the field of personal privacy data governance.
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