Crowdsourcing, attention and productivity

By Σύψας Αθανάσιος, Ελληνικό Ανοικτό, Πανεπιστήμιο Καλλές, Δημήτρης Ελληνικό, Ανοικτό Πανεπιστήμιο, Athanasios Sypsas, Dimitris Kalles. Journal of information science, 2008

342 citations recorded by the source corpus.

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.

Subfields: Computer Science Applications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/91566dd9562e61d010a1271e8cebc08bcf8b8aba

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In Computer Science Applications

In Statistical and Nonlinear Physics

Citations in the corpus

Unpaid Crowd Complementors: The Platform Network Effect Mirage (2015, positive): “Consistent with this point, the early research on unpaid competing complementors’ motivations has not reported the presence of these motivations among those identified (Jeppesen and Frederiksen, 2006; Huberman et al., 2009; Wu et al., 2010).”
A Survey of Crowdsourcing Systems (2011, background): “In the case of YouTube, attention, measured by the number of downloads, is an important driver of contributions [36].”
How Visibility and Divided Attention Constrain Social Contagion (2012, background): “In social media, the phenomenon of divided attention was shown to limit the number of meaningful interactions people can maintain online [11] and govern what [12], [8] or who [13], [14] people allocate their effort to.”
Advanced manufacturing systems: socialization characteristics and trends (2015, background): “Furthermore, the term crowd-sourcing (Enrique and Fernando 2012; Huberman et al. 2009) refers to the practice of obtaining needed services, ideas, or content by soliciting contributions from a large group of people, and especially from an online community, rather than from traditional employees or s”
Towards an integrated crowdsourcing definition (2012, background): “[12] do of YouTube, while Kleeman et al.”
The labor economics of paid crowdsourcing (2010, neutral): “Crowdsourcing projects have used a variety of inducements, including entertainment [21], information [1, 13], and the chance to be altruistic and win attention from others [12].”
Content or Community? A Digital Business Strategy for Content Providers in the Social Age (2013, background): “Huberman et al. (2009) showed, in the context of YouTube clips, that users whose videos attract more attention subsequently contribute greater quantities of content.”
Social Networks that matter: Twitter under the Microscope (2008, background): “…to ﬁnd out how many friends each user has and compare this number with the number of followers and followees they declared. productivity within a social network [5], we conjecture that the users who receive attention from many people will post more often than users who receive little attention.”
Evaluation on crowdsourcing research: Current status and future direction (2012, background): “Some researchers define and explore the characteristics of crowdsourcing models and yield implications for the design of crowdsourcing systems directly (Doan et al. 2011; Huberman et al. 2009; Kazman and Chen 2009; Stewart et al. 2009, 2010).”
Testing Propositions Derived from Twitter Studies: Generalization and Replication in Computational Social Science (2015, background): “Previous studies suggest that social media users’ productivity exhibits a strong positive association with others’ attention in online social platforms like YouTube [24] and Twitter [14].”