现代情报2025，Vol.45Issue(10)：77-88,12.DOI:10.3969/j.issn.1008-0821.2025.10.007
社交网络用户隐私泄露情感损失计算研究
Research on the Calculation of Emotional Loss of Social Network User's Privacy Leakage
摘要
Abstract
[Purpose/Significance]With the popularity of social networks,the problem of users'privacy leakage is becoming more and more serious,posing potential risks to individuals and society.In this study,the users'emotional loss function is constructed to quantify the users'emotional loss in the context of privacy disclosure.[Method/Process]This study collected text data generated by users on Weibo,and combined it with the LDA model to classify privacy leaks into four types:social life,communication,location,and information and information.It refined users'emotions under each type of privacy leak through emotional analysis.Based on this,the emotional loss function of users'privacy leaks was con-structed to calculate their emotional losses.[Result/Conclusion]The results indicate that social network users generally exhibit negative emotions in the context of privacy disclosure.There are significant differences in the degree of emotional loss and dispersion caused by different types of privacy disclosure.Among them,the users'emotional loss caused by com-munication privacy leakage is the most severe,followed by information privacy leakage,social life privacy leakage,and location privacy leakage.In addition,demographic variables such as gender,geographical distribution,and the number of Weibo posts have varying degrees of influence on users'emotional loss of privacy disclosure.关键词
社交网络/隐私泄露/损失计算/LDA/情感分析Key words
social network/privacy leakage/loss calculation/LDA/sentiment analysis分类
社会科学引用本文复制引用
杨瑞仙,刘佳涵,孙倬..社交网络用户隐私泄露情感损失计算研究[J].现代情报,2025,45(10):77-88,12.基金项目
国家社会科学基金项目"社交网络数据隐私风险识别与治理研究"(项目编号:22BTQ072) （项目编号:22BTQ072）
河南省高等学校哲学社会科学创新团队项目"数据治理与交易流通"(项目编号:2024-CXTD-01). （项目编号:2024-CXTD-01）
