About: Co-destruction Patterns in Crowdsourcing: Formal/Technical Paper

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Co-destruction Patterns in Crowdsourcing: Formal/Technical Paper
Creator	Bidar, Reihaneh Sindhgatta, Renuka Ter Hofstede, Arthur
Source	PMC
abstract	Crowdsourcing has been a successful paradigm in organising a large number of actors to work on specific tasks and contribute to knowledge collectively. However, the openness of such systems allows destructive patterns to form through actors’ dynamics. As a result, the collective effort of actors may not achieve the targeted objective due to lower engagement and lower quality contributions. There are varying forms of actor dynamics that can lead to suboptimal outcomes and this paper provides a systematic analysis of these in the form of a collection of patterns, derived from both the literature and from our own experiences with crowdsourcing systems. This collection of so-called co-destruction patterns allows for an-depth analysis of corwdsourcing systems which can benefit a comparative analysis and also assist with improvements of existing systems or the set-up of new ones. A survey reveals that these patterns have been observed in practice and are perceived as worthwhile addressing.
has issue date	2020-05-09(xsd:dateTime)
bibo:doi	10.1007/978-3-030-49435-3_4
has license	no-cc
sha1sum (hex)	1bc0bc32a1936a1c0cf3e5ebb7886f00fb294113
schema:url	https://doi.org/10.1007/978-3-030-49435-3_4
resource representing a document's title	Co-destruction Patterns in Crowdsourcing: Formal/Technical Paper
has PubMed Central identifier	PMC7266435
schema:publication	Advanced Information Systems Engineering
resource representing a document's body	covid:1bc0bc32a1936a1c0cf3e5ebb7886f00fb294113#body_text
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