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Quantitative analysis of user-generated content on the Web

Ochoa, Xavier and Duval, Erik (2008) Quantitative analysis of user-generated content on the Web. pp. 19-26. In: Proceedings of the First International Workshop on Understanding Web Evolution (WebEvolve2008), 22 Apr 2008, Beijing, China. ISBN 978 085432885 7.

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Abstract

User-generated content (UGC) is becoming the most popular and valuable information available on the WWW. However, little serious research has been conducted to measure the properties of its production process. This paper presents an in-depth quantitative analysis of 9 popular websites that are based on different UGC types. The Information Production Process is used as a framework for the analysis. The findings provide for first time strong scientific evidence for previously anecdotic knowledge: UGC production follows “long-tail” distributions and it is marked with a strong “participation inequality”. Also, the analysis arrived to unexpected findings: not all the UGC types follow the inverse power-law distribution, and large content collections could be dominated by the presence of ultraproductive users. The analysis results also have implications for the administration of UGC-based websites.

Item Type:Conference or Workshop Item (Paper)
Web Science Comments:Full paper from the Web Science Workshop at WWW2008
Uncontrolled Keywords:User-generated content, UGC, IPP, Lotka, Weibull
Subjects:Web Science Events > Web Evolve 2008
WS1 Computer Science > WS12 Decentralized Information Systems
ID Code:34
Deposited By: David De Roure
Deposited On:13 Apr 2008 16:37
Last Modified:25 Oct 2011 16:28

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