Crowdsourcing, Attention and Productivity
Computers and Society
2008-09-20 v1 Physics and Society
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 \texttt{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.
Keywords
Cite
@article{arxiv.0809.3030,
title = {Crowdsourcing, Attention and Productivity},
author = {Bernardo A. Huberman and Daniel M. Romero and Fang Wu},
journal= {arXiv preprint arXiv:0809.3030},
year = {2008}
}