Journal
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION
Volume 23, Issue 6, Pages 370-388Publisher
OXFORD UNIV PRESS INC
DOI: 10.1093/jcmc/zmy020
Keywords
Personalization; Privacy Calculus; Perceived Benefits; Perceived Privacy Costs; Trust; Self-Disclosure
Funding
- University of Amsterdam Research Priority Area 'Personalised Communication'
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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 emerged in the health context.
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