Crowdsourcing systems on the World-Wide Web
This study attempts to provide a global picture of crowdsourcing systems on the Web. We define and classify such systems, then describe a broad sample of systems. The sample ranges from relatively simple well-established systems such as reviewing books to complex emerging systems that build structured knowledge bases to systems that 'piggyback' onto other popular systems. We discuss fundamental challenges such as how to recruit and evaluate users, and to merge their contributions.
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- Research publication
- professional services
- rating, work organisation
- Communications of the ACM (Publisher)
- Qualitative research