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(to be completed)

 


ThinkMind // International Journal On Advances in Security, volume 10, numbers 1 and 2, 2017 // View article sec_v10_n12_2017_6


Modeling User-Based Modifications to Information Quality to Address Privacy and Trust Related Concerns in Online Social Networks

Authors:
Brian Blake
Nitin Agarwal

Keywords: information quality; privacy; trust; online social networks

Abstract:
This research seeks to understand user-based modifications to information quality due to data privacy and trust related concerns within online social networks. It explores the interrelationships and trade-offs between data privacy, trust, and information quality. To this end, we present an extensive literature review to frame our research. The greatest implications of this research come through development of integrated research matrix frameworks, a privacy/trust/information quality modeling syntax, and forthcoming structural equation scoring measures that will be applicable to future research efforts. In application, the relationship matrices can be applied to the conceptual modeling syntax. Further, the results of the structural equation model will show the strength and directionality of the effects of related matrix aspects on one another. The research will enhance methods of modeling and measuring data privacy, trust, and information quality within online social networks. Regarding online social networks, it lends itself to a better understanding of the quality of shared information in given data privacy and trust scenarios. It provides future researchers with a formal framework for relating privacy, trust, and information quality as well as a formal way to understand information quality modification.

Pages: 72 to 89

Copyright: Copyright (c) to authors, 2017. Used with permission.

Publication date: June 30, 2017

Published in: journal

ISSN: 1942-2636

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