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ThinkMind // SOTICS 2016,The Sixth International Conference on Social Media Technologies, Communication, and Informatics // View article sotics_2016_2_20_60030
Understanding User-Based Modifications to Information Quality in Response to Privacy and Trust Related Concerns in Online Social Networks
 Authors:
Brian Blake
Nitin Agarwal Keywords: Information quality; privacy; trust; online social networks Abstract:
As online social networks have surged in popularity, a new wave of privacy discussions are taking place as evolving technology influences perceptions and demands in regard to privacy. From a practitioner’s perspective, there is a need to model, measure, and understand information quality in social networks and its relationship to data privacy and trust. From a user’s perspective, there is a need to more fully understand both the trust aspects and the visibility and other privacy aspects of information shared online as well as implications from future use of that data. The goal of this research therefore is to model user based modifications to information quality due to data privacy and trust related concerns within online social networks in order to more fully explore the interrelationships and trade-offs between data privacy, trust, and information quality. This research focuses on: 1) development and validation of relationship matrices for data privacy, online social networks, information quality, and trust as a research framework, 2) development of syntax for a conceptual model of data privacy, trust, and information quality in online social networks, and 3) development of a structural equation model for understanding the trade-offs and influences between data privacy, trust, and information quality in online social networks. The greatest implications of this research come through development of integrated matrix frameworks, a privacy/trust/information quality modeling syntax, and structural equation scoring measures that will be applicable to future research efforts. The research will enhance methods of modeling and measuring data privacy, trust, and information quality within online social networks. In application to 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: 18 to 28 Copyright: Copyright (c) IARIA, 2016 Publication date: August 21, 2016 Published in: conference ISSN: 2326-9294 ISBN: 978-1-61208-504-3 Location: Rome, Italy Dates: from August 21, 2016 to August 28, 2015
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