This Article Full Text (OnlineFirst PDF) All Versions of this Article: 0165551509346786v1 35/6/758    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Scopus Google Scholar Articles by Huberman, B. A. Articles by Wu, F. Social Bookmarking                         What's this?

Crowdsourcing, attention and productivity

¹ Social Computing Lab, HP Laboratories, Palo Alto, CA, USA
² Center for Applied Mathematics, Cornell University, Ithaca, NY, USA

^* To whom correspondence should be addressed. E-mail: bernardo.huberman{at}hp.com.

	Abstract

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.

First published on October 9, 2009, doi:10.1177/0165551509346786

Journal of Information Science 2009;35:758.

A more recent version of this article appeared on December 1, 2009


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?