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Title: Crowdsourcing community heuristic evaluations
Authors: à Campo, Simon
Khan, Vassilis Javed
Issue Date: 2017
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 15th European Conference on Computer-Supported Cooperative Work - Panels, Posters and Demos
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 1, no. 3
Abstract: Crowdsourcing is growing in both industry and academia, providing new ways to conduct work. However, these online working environments show similarities with the industrial revolution, were workers have few to no rights. Although crowdsourcing is a new phenomenon, online communities have quite some history. We find a resource in the literature on how to build online communities and applied them to crowdsourcing platforms. We have gathered and adjusted community heuristics to evaluate crowdsourcing platforms. To support the evaluation task, we have developed a system which we present as a demo:
metadata.dc.identifier.doi: 10.18420/ecscw2017_p6
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Demo
metadata.mci.conference.location: Sheffield, UK 28 August - 1 September 2017
Appears in Collections:ECSCW 2017 Panels, Demos and Posters

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