数据隐私风险的时序主题关联和演化路径研究

Temporal Topic Correlation and Evolution Path Research of Data Privacy Risk

【目的/意义】分析数据隐私风险的时序主题关联,理清热点主题的演化路径,探索有温度的数据隐私风险治理。【方法/过程】基于WOS核心合集和Scopus数据库收录的数据隐私风险领域相关文献,通过LDA主题模型将文本按照时间片切分,并识别各时间片的研究主题;再通过余弦相似度计算分析相邻时间片主题的时序关联,梳理主题演化路径并探索研究前沿。【结果/结论】数据隐私风险研究的关注点逐渐从对识别、评估和缓解数据隐私风险技术本身的关注,转向对平台、算法和场景整体性情境的关注,这需要通过数字伦理、法律和社会等方面共同助力形成负责任的技术,以期构建数字信任环境。【创新/局限】本研究对跨学科和跨领域的数据隐私风险研究的演化路径进行梳理,探索数据隐私风险治理的有效路径。未来可进一步细化不同时期的主题,并深入分析不同时间片的新兴技术对数据隐私风险的影响。

【Purpose/significance】Analyze the temporal topic correlation of data privacy risk,clarify the evolution path of the topics,and explore data privacy risk governance full of hommization【.Method/process】Based on the relevant literature in the field of data privacy risk included in the WOS core collection and Scopus database,the text is divided into time slices through the LDA topic model,and the research topics of each time slice are identified;then based on the cosine similarity,analyze the topics of adjacent time slices to build the Temporal topic correlation of data privacy risk and explore research frontiers【.Result/conclusion】The focus of data privacy risk research has gradually shifted from the technology itself for identifying,evaluating,and mitigating data privacy risks to the holistic context of platforms,algorithms,and scenarios.This requires the joint efforts of digital ethics,law,and society to form Responsible technology with a view to building an environment of digital trust【.Innovation/limitation】This study sorts out the evolution path of interdisciplinary and cross-field data privacy risk research,and explores the effective path of data privacy risk governance.In the future,the themes of different periods can be further refined,and the impact of emerging technologies in different time slices on data privacy risks can be analyzed in depth.