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A framework for describing the social production of data in crowdsourcing
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2016 (English)In: International Reports on Socio-Informatics (IRSI), ISSN 1861-4280, E-ISSN 1861-4280, Vol. 13, no 2, p. 27-34Article in journal (Refereed) Published
Abstract [en]

This overview of the handling of user profile data and user activity in some crowdsourcing tools provides a framework for analyzing data production processes in terms of embodiment (the participants’ social and cultural perspective) and gameplay (how the participants can interact through the tool). This can create a better understanding of the quality of the data in crowd produced environments, which can be particularly interesting in contexts were trustworthiness is aggregated in the network rather than provided by a single source (of unknown credibility), and as an alternative when normal sources cannot provide trustworthy information or information at all. By combining gameplay metrics with data indicating embodiment, the social production of data can become more transparent.

Place, publisher, year, edition, pages
2016. Vol. 13, no 2, p. 27-34
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-137466OAI: oai:DiVA.org:su-137466DiVA, id: diva2:1062741
Conference
CHI 2016 - Workshop: Crowd Dynamics: Exploring Conflicts and Contradictions in Crowdsourcing, May 2016, San Jose, CA, USA
Available from: 2017-01-08 Created: 2017-01-08 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf