作者
Nadine Bol, Tobias Dienlin, Sanne Kruikemeier, Marijn Sax, Sophie C Boerman, Joanna Strycharz, Natali Helberger, Claes H De Vreese
发表日期
2018/11
期刊
Journal of Computer-Mediated Communication
卷号
23
期号
6
页码范围
370-388
出版商
Oxford University Press
简介
The privacy calculus suggests that online self-disclosure is based on a cost–benefit trade-off. However, although companies progressively collect information to offer tailored services, the effect of both personalization and context-dependency on self-disclosure has remained understudied. Building on the privacy calculus, we hypothesized that benefits, privacy costs, and trust would predict online self-disclosure. Moreover, we analyzed the impact of personalization, investigating whether effects would differ for health, news, and commercial websites. Results from an online experiment using a representative Dutch sample (N = 1,131) supported the privacy calculus, revealing that it was stable across contexts. Personalization decreased trust slightly and benefits marginally. Interestingly, these effects were context-dependent: While personalization affected outcomes in news and commerce contexts, no effects …
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