Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content
Organizations’ increasing reliance on externally produced information, such as online user-generated content (UGC) and crowdsourcing, challenges common assumptions about conceptual modeling in information systems (IS) development. We demonstrate UGC’s societal importance, analyze its distinguishing characteristics, identify specific conceptual modeling challenges in this setting, evaluate traditional and recently proposed approaches to modeling UGC, propose a set of conceptual modeling guidelines for developing IS that harness structured UGC, and demonstrate how to implement and evaluate the proposed guidelines using a case of development of a real crowdsourcing (citizen science) IS. We conclude by considering implications for conceptual modeling research and practice.
Lukyanenko, Roman; Parsons, Jeffrey; Wiersma, Yolanda; Wachinger, Gisela; Huber, Benjamin; and Meldt, Robert
"Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content,"
Journal of the Association for Information Systems, 18(4), .
Available at: https://aisel.aisnet.org/jais/vol18/iss4/2
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