The four pillars of crowdsourcing: A reference model

  • Mahmood Hosseini
  • , Keith Phalp
  • , Jacqui Taylor
  • , Raian Ali

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Crowdsourcing is an emerging business model where tasks are accomplished by the general public; the crowd. Crowdsourcing has been used in a variety of disciplines, including information systems development, marketing and operationalization. It has been shown to be a successful model in recommendation systems, multimedia design and evaluation, database design, and search engine evaluation. Despite the increasing academic and industrial interest in crowdsourcing, there is still a high degree of diversity in the interpretation and the application of the concept. This paper analyses the literature and deduces a taxonomy of crowdsourcing. The taxonomy is meant to represent the different configurations of crowdsourcing in its main four pillars: the crowdsourcer, the crowd, the crowdsourced task and the crowdsourcing platform. Our outcome will help researchers and developers as a reference model to concretely and precisely state their particular interpretation and configuration of crowdsourcing.

Original languageEnglish
Title of host publication2014 IEEE 8th International Conference on Research Challenges in Information Science, IEEE RCIS 2014
PublisherIEEE Computer Society
ISBN (Print)9781479923939
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014 - Marrakesh, Morocco
Duration: 28 May 201430 May 2014

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Conference

Conference8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014
Country/TerritoryMorocco
CityMarrakesh
Period28/05/1430/05/14

Keywords

  • crowdsourcing
  • crowdsourcing configuration
  • crowdsourcing taxonomy

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