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Validation of Capability Modeling Concepts: A Dialogical Approach Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content

Authors : Shawn Ogunseye, Jeffrey Parsons

Published in: Advanced Information Systems Engineering Workshops

Publisher: Springer International Publishing

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Abstract

Conventional wisdom holds that expert contributors provide higher quality user-generated content (UGC) than novices. Using the cognitive construct of selective attention, we argue that this may not be the case in some crowd-sourcing UGC applications. We argue that crowdsourcing systems that seek participation mainly from contributors who are experienced or have high levels of proficiency in the crowdsourcing task will gather less diverse and therefore less repurposable data. We discuss the importance of the information diversity dimension of information quality for the use and repurposing of UGC and provide a theoretical basis for our position, with the goal of stimulating empirical research.

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Footnotes
1
Crowdsourcing systems that gather distributed information for decision making [6]
 
2
Owners (key design decision makers) of crowdsourcing and crowd-facing systems [17]
 
3
This definition is easily extended to the case where A and B are sets of contributions.
 
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Metadata
Title
Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content
Authors
Shawn Ogunseye
Jeffrey Parsons
Copyright Year
2018
Book
Advanced Information Systems Engineering Workshops

Print ISBN: 978-3-319-92897-5

Electronic ISBN: 978-3-319-92898-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-92898-2_15

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