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Crowdsourcing, attention and productivity

Social Computing Lab, HP Laboratories, Palo Alto, CA, USA, bernardo.huberman{at}hp.com

Daniel M. Romero

Center for Applied Mathematics, Cornell University, Ithaca, NY, USA

Fang Wu

Social Computing Lab, HP Laboratories, Palo Alto, CA, USA

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, short-term contributors compare their performance to the average contributor’s performance while long-term contributors compare it to their own media.

Key Words: crowdsourcing • social attention

This version was published on December 1, 2009

Journal of Information Science, Vol. 35, No. 6, 758-765 (2009)
DOI: 10.1177/0165551509346786


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