Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] With the widespread popularity of social networks, users download a large number of third-party applications (that is, the social APP) through social platforms, which raises privacy concerns. In addition to personal privacy (called direct privacy), the objects of concern also include the privacy of users' friends, called linking privacy.Based on the measurement of the value of linking privacy, the extensive existence of linking privacy is confirmed, which provides a basis for the formulation of linking privacy policy in social apps. [Method/process] Through empirical investigation and literature review, this paper confirmed the extensive existence of linking privacy, and put forward corresponding research questions and research hypotheses. The joint analysis method was adopted to analyze individual preferences through questionnaires, deduced the influencing factors of users' APP selection, and quantitatively estimated the value of related privacy. [Result/conclusion] This paper finds that users consider friends' privacy when they choose to use apps, but value their friends' privacy at a relatively low level. When considering the situation of social APP to collect user information's influence on the linking value of privacy, by introducing two kinds of situations, namely whether the APP to collect user friend information will promote the realization of the function of the APP and use effect, the results show that only when the two kinds of situation on the friend's complete information of linking privacy just have significant differences. It indicates that it is not so important for users to protect the basic information of friends, but unreasonable requests for sensitive information (the part of complete information that removes the basic information) will have a negative effect on APP evaluation.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To modify BDM mechanism to measure the Chinese public’s perception of the value of their personal data, and provide reference for the economic compensation and privacy policy development of personal data infringement cases. [Method/process] This paper modified BDM mechanism, clarified the purpose of using personal data, and introduced TIOLI mechanism to avoid anchoring effect, measured the WTA of users’ personal data, i.e. the users’ perception of the value of their personal data. [Result/conclusion] 85% users are willing to sell their personal data in order to get benefit. The average selling price of personal preference data is RMB 38.8, the average selling price of contact data is 136.3 RMB, the average selling price of combined data is RMB 237.9, the average selling price of Sina Weibo account data is RMB 221.8, and the average selling price of Sina Weibo historical data is RMB 231.4. However, the actual economic compensation for personal data infringement cases in China is much lower than the measurement result.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Users' self-disclosure is of strategic significance to social network platforms based on user-generated content, and the quantity and quality of user-generated content depend on the user's willingness to self-disclosure. Therefore, the study of users' willingness to self-disclosure and its influencing factors can provide reference for social network platforms to formulate privacy policies and encourage users to disclose personal information, to promote the development of social networks platforms.[Method/process] Based on the existing research framework, a research model of social network users' self-disclosure willingness was constructed. This study took Sina microblog as an example, and adopted python crawler method to obtain users' personal data to analyzed users' willingness to self-disclosure.[Result/conclusion] Semantic content, location tags and data permission of microblog all affect users' willingness to self-disclosure. Hiding location tags and setting data permission can significantly improve users' willingness to self-disclosure. Social network users' willingness to self-disclosure is a kind of personal characteristics, which is affected by demographic factors, such as gender, age and education background of users.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Compared with the situation in which the probability of personal data leakage is 100 percent, the situation in which personal data is leaked with a certain probability is more common. Thus, this paper aims to measure users' personal data privacy value under the certain probability of privacy leakage, which puts forward a new perspective of privacy measurement and the measurement results are of practical significance to privacy classification protection.[Method/process] Based on the multiple price list, the user's return on financial risk is measured. Modified the implementation mechanism of multiple price list to elicit users' decisions between the risk-free scheme and the scheme with the probability of privacy leakage. Based on the above steps, value of privacy under leakage probability of users can be measured.[Result/conclusion] When the probability of privacy leakage is 30%, users' average VPLP in the social networks is about RMB 89.5; at the same time, when the probability of privacy leakage is 100%, users' average "willing to accept" and "willing to pay" of personal data in the social networks is about RMB 124.1 and RMB 93.8. Users' VPLP depends on the value of personal privacy itself and probability of privacy leakage.
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