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.
Conference: International Conference on Knowledge Engineering and Ontology Development (KEOD'10)
Language: English
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