Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/63788

Capturing the Forest or the Trees: Designing for Granularity in Data Crowdsourcing

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Title:Capturing the Forest or the Trees: Designing for Granularity in Data Crowdsourcing
Authors:Murphy, Ryan
Parsons, Jeff
Keywords:Design and Development of Collaboration Technologies
conceptual modeling
crowdsourcing
data
granularity
Date Issued:07 Jan 2020
Abstract:Crowdsourcing is a method of completing a task by engaging a large group of heterogeneous contributors. Data crowdsourcing is crowdsourcing of data collection. In this paper, we demonstrate how data crowdsourcing projects can be differentiated along five dimensions: (1) the extent to which tasks are well-defined; (2) the duration of the task; (3) the type of value generated by the consumers of crowdsourcing data; (4) the variety of contribution allowed when completing the task; and (5) the relative value of each contribution. We argue that the quality of information created by a crowd depends on the granularity of contributions contributors are able to make. Finally, we propose a set of principles for designing crowdsourcing system to align the level of granularity of contributions with project objectives.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/63788
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.049
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Design and Development of Collaboration Technologies


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