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2018 | OriginalPaper | Buchkapitel

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

verfasst von : Shawn Ogunseye, Jeffrey Parsons

Erschienen in: Advanced Information Systems Engineering Workshops

Verlag: 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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Fußnoten
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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Metadaten
Titel
Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content
verfasst von
Shawn Ogunseye
Jeffrey Parsons
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-92898-2_15