A Statistical Approach to the Impact of Featured Articles in Wikipedia

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A Statistical Approach to the Impact of Featured Articles in Wikipedia is a 2010 conference paper written in English by Antonio J. Reinoso, Felipe Ortega, Jesús M. González-Barahona, Israel Herraiz and published in KEOD.

[edit] Abstract

This paper presents an empirical study on the impact of featured articles on the attention that Wikipedia’s articles attract, and how this behavior differs in different editions of Wikipedia. The study is based on the analysis of the log lines registered by the Wikimedia Foundation Squid servers after having sent the appropriate content in response to the corresponding request submitted by any Wikipedia user. The analysis has been conducted regarding the six most visited editions of the Wikipedia and has involved more than 4,100 million log lines corresponding to the traffic of September, October and November 2009. The methodology of work has mainly consisted on the parsing of the requests sent by the users and on their subsequent filtering according to the study directives. Relevant information fields has been finally stored in a database for persistence and further characterization. The main results of this paper are twofold: it shows how to use the the traffic log to extract information about the use of Wikipedia, which is a novel research approach without precedences in the research community, and it analyzes whether the featured articles mechanism achieve to attract more attention or not.

[edit] References

This publication has 6 references. Only those references related to wikis are included here:

  • "Evaluating quality control of Wikipedia's feature articles" (create it!) [search]

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