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Crowdsourcing, Attention and Productivity


Bernardo A. Huberman


Hewlett-Packard Laboratories

Daniel M. Romero


Hewlett-Packard Laboratories, Bristol

Fang Wu


HP Labs

September 12, 2008


Abstract:     
The tragedy of the digital commons does not prevent the copious voluntary production of content that one witnesses in the web. We show through an analysis of a massive data set from YouTube that the productivity exhibited in crowdsourcing exhibits a strong positive dependence on attention, measured by the number of downloads. Conversely, a lack of attention leads to a decrease in the number of videos uploaded and the consequent drop in productivity, which in many cases asymptotes to no uploads whatsoever. Moreover, uploaders compare themselves to others when having low productivity and to themselves when exceeding a threshold.

Number of Pages in PDF File: 10

Keywords: digital commons, social attention, productivity, crowdsourcing

JEL Classification: E23,C92, D70, D83, M37

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Date posted: September 14, 2008 ; Last revised: September 25, 2008

Suggested Citation

Huberman, Bernardo A., Romero, Daniel M. and Wu, Fang, Crowdsourcing, Attention and Productivity (September 12, 2008). Available at SSRN: http://ssrn.com/abstract=1266996 or http://dx.doi.org/10.2139/ssrn.1266996

Contact Information

Bernardo A. Huberman (Contact Author)
Hewlett-Packard Laboratories ( email )
1501 Page Mill Road
Palo Alto, CA 94301
United States
650-857-5318 (Phone)
Daniel M. Romero
Hewlett-Packard Laboratories, Bristol ( email )
Bristol
United Kingdom
Fang Wu
HP Labs ( email )
Palo Alto, CA 94304
United States
Feedback to SSRN (Beta)


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References:  12
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