Preventative Nudges: Introducing Risk Cues for Supporting Online Self-Disclosure Decisions

被引:11
|
作者
Diaz Ferreyra, Nicolas E. [1 ]
Kroll, Tobias [1 ]
Aimeur, Esma [2 ]
Stieglitz, Stefan [1 ]
Heisel, Maritta [1 ]
机构
[1] Univ Duisburg Essen, Dept Comp Sci & Appl Cognit Sci, D-47057 Duisburg, Germany
[2] Univ Montreal, Dept Comp Sci & Operat Res, POB 6128, Montreal, PQ H3C 3J7, Canada
基金
加拿大自然科学与工程研究理事会; 欧盟地平线“2020”;
关键词
adaptive privacy; digital nudging; social network sites; risk perception; human-computer interaction; artificial intelligence; PRIVACY CALCULUS MODEL; SOCIAL NETWORKS; INFORMATION; PERCEPTION; BEHAVIOR; PARADOX;
D O I
10.3390/info11080399
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Like in the real world, perceptions of risk can influence the behavior and decisions that people make in online platforms. Users of Social Network Sites (SNSs) like Facebook make continuous decisions about their privacy since these are spaces designed to share private information with large and diverse audiences. In particular, deciding whether or not to disclose such information will depend largely on each individual's ability to assess the corresponding privacy risks. However, SNSs often lack awareness instruments that inform users about the consequences of unrestrained self-disclosure practices. Such an absence of risk information can lead to poor assessments and, consequently, undermine users' privacy behavior. This work elaborates on the use of risk scenarios as a strategy for promoting safer privacy decisions in SNSs. In particular, we investigate, through an online survey, the effects of communicating those risks associated with online self-disclosure. Furthermore, we analyze the users' perceived severity of privacy threats and its importance for the definition of personalized risk awareness mechanisms. Based on our findings, we introduce the design of preventative nudges as an approach for providing individual privacy support and guidance in SNSs.
引用
收藏
页数:23
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