51. An Extended Privacy Calculus Model for SNSs: Analyzing Self-Disclosure and Self-Withdrawal in a Representative U.S. Sample
- Author
-
Miriam J. Metzger and Tobias Dienlin
- Subjects
Self-efficacy ,Computer Networks and Communications ,Privacy software ,Computer science ,business.industry ,05 social sciences ,Internet privacy ,050801 communication & media studies ,Sample (statistics) ,Context (language use) ,Computer security ,computer.software_genre ,Privacy calculus ,Structural equation modeling ,Computer Science Applications ,0508 media and communications ,0502 economics and business ,Self-disclosure ,ComputingMilieux_COMPUTERSANDSOCIETY ,050211 marketing ,Generalizability theory ,business ,computer - Abstract
The privacy calculus established that online self-disclosures are based on a cost-benefit tradeoff. For the context of SNSs, however, the privacy calculus still needs further support as most studies consist of small student samples and analyze self-disclosure only, excluding self-withdrawal e.g., the deletion of posts, which is essential in SNS contexts. Thus, this study used a U.S. representative sample to test the privacy calculus' generalizability and extend its theoretical framework by including both self-withdrawal behaviors and privacy self-efficacy. Results confirmed the extended privacy calculus model. Moreover, both privacy concerns and privacy self-efficacy positively predicted use of self-withdrawal. With regard to predicting self-disclosure in SNSs, benefits outweighed privacy concerns; regarding self-withdrawal, privacy concerns outweighed both privacy self-efficacy and benefits.
- Published
- 2016