Design Facets of Crowdsourcing

Peter Organisciak; Michael Twidale

Design Facets of Crowdsourcing

Research output: Contribution to conference › Paper › peer-review

Abstract

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 language	English (US)
Number of pages	13
State	Published - 2015
Event	2015 iConference - Newport Beach, United States Duration: Mar 24 2015 → Mar 27 2015

Conference

Conference	2015 iConference
Country/Territory	United States
City	Newport Beach
Period	3/24/15 → 3/27/15

Keywords

crowdsourcing
social computing
online communities

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abstract = "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.",

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AU - Twidale, Michael

PY - 2015

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AB - 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.

KW - crowdsourcing

KW - social computing

KW - online communities

UR - http://hdl.handle.net/2142/73640

M3 - Paper

T2 - 2015 iConference

Y2 - 24 March 2015 through 27 March 2015

ER -

Design Facets of Crowdsourcing

Abstract

Conference

Keywords

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