摘要
大数据环境下,海量个人信息的收集在为政府和企业提供价值的同时,也引起了人们对数据安全的关注和个人信息泄露的担忧。本文通过设计离散选择实验,设置信息泄露情境,分析不同类型个人信息的泄露与个体受偿意愿之间的关系,根据性别、年龄、受教育程度和网络使用频率分类等个体差异定量分析各类信息的价值。研究发现,①个人基本信息价值最高,社交网络信息价值最低;②女性对各类个人信息的预期价值普遍高于男性;③相比之下,40岁以上用户对网络检索记录的重视程度较低;④学历更高的样本对各类个人信息的预期价值更高;⑤相比而言,网络使用频率高的用户更加重视购物及支付信息。本研究阐释了一种评估个人信息价值的定量分析方法,研究结论将有助于信息收集部门了解用户的个人信息偏好,也为政府部门制定个人信息保护政策提供参考依据。
In the era of big data, the collection of massive amounts of personal information provides value for both govern‐ments and enterprises, but also raises concerns about data security and the leakage of personal information. Based on the discrete choice model, this study analyzes the relationship between different types of personal information leakage and in‐dividuals willingness to accept the leak by designing experiments. This study quantitatively assesses the value of each type of information from the perspective of the user, and we classify the samples by gender, age, education, and frequency of Internet use. The results show that ① basic personal information has the highest value, whereas social network informa‐tion has the lowest. ② The expected value of women for all types of personal information is generally higher than that of men. ③ Compared with 18-30-year-olds, people over the age of 40 are less concerned about Internet search information.④ People with higher academic qualifications have a higher expected value for various types of personal information.⑤ Compared with those with lower Internet usage frequency, people with high frequency of Internet usage pay more atten‐tion to shopping and payment information. This study illustrates a quantitative analysis method for assessing the value of personal information. The results will help the information-collection department understand the preferences of individualspersonal information and the adjustment of information-collection strategies. This work also provides reference for govern‐ment departments to formulate personal information-protection policies.
作者
邓胜利
赵海平
Deng Shengli;Zhao Haiping(Center for Studies of Information Resources,Wuhan University,Wuhan 430072)
出处
《情报学报》
CSSCI
CSCD
北大核心
2019年第3期266-276,共11页
Journal of the China Society for Scientific and Technical Information
基金
教育部人文社会科学重点研究基地重大项目"我国服务业信息化推进与保障机制研究"(15JJD870001)
关键词
大数据环境
个人信息
价值评估
离散选择模型
big data
personal information
value assessment
discrete choice model
