Abstract: 【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 pri⁃ vacy 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 inter⁃ disciplinary 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.