Crowdsourcing offers a way for information scientists to engage with the public and potentially collect valuable new data about documents. However, the space of crowdsourcing is very broad, with many design choices that differentiate existing projects significantly. This can make the space of crowdsourcing rather daunting. Building upon efforts from other fields to conceptualize, we develop a typology of crowdsourcing for information science. Through a number of dimensions within the scope of motivation, centrality, beneficiary, aggregation, type of work, and type of crowd, our typology provides a way to understand crowdsourcing.
Original languageEnglish (US)
Number of pages13
StatePublished - 2015
Event2015 iConference - Newport Beach, United States
Duration: Mar 24 2015Mar 27 2015


Conference2015 iConference
Country/TerritoryUnited States
CityNewport Beach


  • crowdsourcing
  • social computing
  • online communities


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