
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.
FOS: Computer and information sciences, Physics - Physics and Society, bepress|Physical Sciences and Mathematics|Physics, J.4, H.1, bepress|Physical Sciences and Mathematics|Computer Sciences, FOS: Physical sciences, Physics and Society (physics.soc-ph), Computer Science - Computers and Society, Computers and Society (cs.CY), H.1; J.4
FOS: Computer and information sciences, Physics - Physics and Society, bepress|Physical Sciences and Mathematics|Physics, J.4, H.1, bepress|Physical Sciences and Mathematics|Computer Sciences, FOS: Physical sciences, Physics and Society (physics.soc-ph), Computer Science - Computers and Society, Computers and Society (cs.CY), H.1; J.4
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 185 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
