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Modeling and Analyzing Privacy Managing Behavior of Users on Online Social Networks
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/3834
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| Title: | Modeling and Analyzing Privacy Managing Behavior of Users on Online Social Networks |
| Authors: | Lee, Kijung
Song, Il-Yeol |
| Keywords: | Social networks
Privacy |
| Issue Date: | Apr-2007 |
| Publisher: | Drexel University. College of Information Science and Technology. |
| Series/Report no.: | IST Research Day 2007 posters |
| Abstract: | In this study, we develop and test a causal model of user's cognitive and behavioral experience in relation to managing their privacy options on online social networking services. The model consists of research constructs concerning perceived threats from cybercrime, perceived threats from providing information to vendor, and perceived threats from revealing information in public as antecedents and privacy management options in terms of controlling input and output
of information flow as dependent measures mediated by concerns of communication privacy
and concerns of information privacy. We follow a systematic process to create and test the causal model. The model is created based upon a set of theories, i.e., theory of planned behavior and communication privacy management theory, and salient constructs, and evaluated using Structural Equation Modeling technique. The model and our study will make contributions, first in
theory testing, in applying conventional theories to the privacy issues in the use of online social networking services, and second, practically, in serving as a reference for system designers and
service users to reach a consensual point in regards to managing privacy on online social
networks. |
| URI: | http://hdl.handle.net/1860/3834 |
| Appears in Collections: | Research Day Posters (IST)
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