Crowdsourcing, attention and productivity

Crowdsourcing, attention and productivity
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DOI:
10.2139/ssrn.1266996
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发表时间:
2008-09
影响因子:
2.4
通讯作者:
Bernardo A. Huberman;Daniel M. Romero;Fang Wu
Bernardo A. Huberman;Daniel M. Romero;Fang Wu
中科院分区:
计算机科学3区
文献类型:
--
作者:
Bernardo A. Huberman;Daniel M. Romero;Fang Wu

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我们通过对来自YouTube的大量数据集的分析表明,众包中表现出的生产力对注意力有很强的正依赖性,以下载次数来衡量。相反,缺乏关注会导致上传的视频数量减少,从而导致生产力下降,在许多情况下,这会逐渐导致没有上传。此外,短期贡献者将自己的表现与平均贡献者的表现进行比较,而长期贡献者则将其与自己的媒体进行比较。
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.