Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content

Authors

Roman Lukyanenko, University of SaskatchewanFollow
Jeffrey Parsons, Memorial University of NewfoundlandFollow
Yolanda Wiersma, Memorial University of NewfoundlandFollow
Gisela Wachinger, DIALOGIK, Non Profit Institute for Communication and Cooperation Research, GermanyFollow
Benjamin Huber, University of StuttgartFollow
Robert Meldt, University of StuttgartFollow

Abstract

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.

Recommended Citation

Lukyanenko, Roman; Parsons, Jeffrey; Wiersma, Yolanda; Wachinger, Gisela; Huber, Benjamin; and Meldt, Robert (2017) "Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content," Journal of the Association for Information Systems, 18(4), .
DOI: 10.17705/1jais.00456
Available at: https://aisel.aisnet.org/jais/vol18/iss4/2

DOI

10.17705/1jais.00456