Capturing the Forest or the Trees: Designing for Granularity in Data Crowdsourcing
Capturing the Forest or the Trees: Designing for Granularity in Data Crowdsourcing
dc.contributor.author | Murphy, Ryan | |
dc.contributor.author | Parsons, Jeff | |
dc.date.accessioned | 2020-01-04T07:12:59Z | |
dc.date.available | 2020-01-04T07:12:59Z | |
dc.date.issued | 2020-01-07 | |
dc.description.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. | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2020.049 | |
dc.identifier.isbn | 978-0-9981331-3-3 | |
dc.identifier.uri | http://hdl.handle.net/10125/63788 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 53rd Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Design and Development of Collaboration Technologies | |
dc.subject | conceptual modeling | |
dc.subject | crowdsourcing | |
dc.subject | data | |
dc.subject | granularity | |
dc.title | Capturing the Forest or the Trees: Designing for Granularity in Data Crowdsourcing | |
dc.type | Conference Paper | |
dc.type.dcmi | Text |
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