Crowdsourcing, attention and productivity

  title={Crowdsourcing, attention and productivity},
  author={Bernardo A. Huberman and Daniel M. Romero and Fang Wu},
  journal={Journal of Information Science},
  pages={758 - 765}
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… 

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