Quantitative analysis

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quantitative analysis is included as keyword or extra keyword in 0 datasets, 0 tools and 10 publications.

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Publications

Title Author(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Similar Gaps, Different Origins? Women Readers and Editors at Greek Wikipedia Ioannis Protonotarios
Vasiliki Sarimpei
Jahna Otterbacher
Tenth International AAAI Conference on Web and Social Media English 17 May 2016 As a global, multilingual project, Wikipedia could serve as a repository for the world’s knowledge on an astounding range of topics. However, questions of participation and diversity among editors continue to be burning issues. We present the first targeted study of participants at Greek Wikipedia, with the goal of better understanding their motivations. Smaller Wikipedias play a key role in fostering the project’s global character, but typically receive little attention from researchers. We developed two survey instruments, administered in Greek, based on the 2011 Wikipedia Readership and Editors Surveys. Consistent with previous studies, we found a gender gap, with women making up only 38% and 15% of readers and editors, respectively, and with men editors being much more active. Our data suggest two salient explanations: 1) women readers more often lack confidence with respect to their knowledge and technical skills as compared to men, and 2) women’s behaviors may be driven by personal motivations such as enjoyment and learning, rather than by “leaving their mark” on the community, a concern more common among men. Interestingly, while similar proportions of men and women readers use multiple language editions, more women contribute to English Wikipedia in addition to the Greek language community. Future research should consider how this impacts their participation at Greek Wikipedia 11 0
La connaissance est un réseau: Perspective sur l’organisation archivistique et encyclopédique Martin Grandjean Les Cahiers du Numérique French 2014 Network analysis is not revolutionizing our objects of study, it revolutionizes the perspective of the researcher on the latter. Organized as a network, information becomes relational. It makes potentially possible the creation of new information, as with an encyclopedia which links between records weave a web which can be analyzed in terms of structural characteristics or with an archive directory which sees its hierarchy fundamentally altered by an index recomposing the information exchange network within a group of people. On the basis of two examples of management, conservation and knowledge enhancement tools, the online encyclopedia Wikipedia and the archives of the Intellectual Cooperation of the League of Nations, this paper discusses the relationship between the researcher and its object understood as a whole.

[Preprint version available].

Abstract (french)

L’analyse de réseau ne transforme pas nos objets d’étude, elle transforme le regard que le chercheur porte sur ceux-ci. Organisée en réseau, l’information devient relationnelle. Elle rend possible en puissance la création d’une nouvelle connaissance, à l’image d’une encyclopédie dont les liens entre les notices tissent une toile dont on peut analyser les caractéristiques structurelles ou d’un répertoire d’archives qui voit sa hiérarchie bouleversée par un index qui recompose le réseau d’échange d’information à l’intérieur d’un groupe de personnes. Sur la base de deux exemples d’outils de gestion, conservation et valorisation de la connaissance, l’encyclopédie en ligne Wikipédia et les archives de la coopération intellectuelle de la Société des Nations, cet article questionne le rapport entre le chercheur et son objet compris dans sa globalité. [Version preprint disponible].
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A quantitative examination of the impact of featured articles in Wikipedia Antonio J. Reinoso
Jesús M. González-Barahona
Rocío Muñoz Mansilla
Israel Herraiz
ICSOFT English 2011 This paper presents a quantitative examination of the impact of the presentation of featured articles as quality content in the main page of several Wikipedia editions. Moreover, the paper also presents the analysis performed to determine the number of visits received by the articles promoted to the featured status. We have analyzed the visits not only in the month when articles awarded the promotion or were included in the main page, but also in the previous and following ones. The main aim for this is to assess the attention attracted by the featured content and the different dynamics exhibited by each community of users in respect to the promotion process. The main results of this paper are twofold: it shows how to extract relevant information related to the use of Wikipedia, which is an emerging research topic, and it analyzes whether the featured articles mechanism achieve to attract more attention. 3 0
Cultural bias in Wikipedia content on famous persons Ewa S. Callahan
Susan C. Herring
Journal of the American Society for Information Science and Technology English 2011 Wikipedia advocates a strict "neutral point of view" (NPOV) policy. However, although originally a U.S-based, English-language phenomenon, the online, user-created encyclopedia now has versions in many languages. This study examines the extent to which content and perspectives vary across cultures by comparing articles about famous persons in the Polish and English editions of Wikipedia. The results of quantitative and qualitative content analyses reveal systematic differences related to the different cultures, histories, and values of Poland and the United States; at the same time, a U.S./English-language advantage is evident throughout. In conclusion, the implications of these findings for the quality and objectivity of Wikipedia as a global repository of knowledge are discussed, and recommendations are advanced for Wikipedia end users and content developers. 22 2
A Statistical Approach to the Impact of Featured Articles in Wikipedia Antonio J. Reinoso
Felipe Ortega
Jesús M. González-Barahona
Israel Herraiz
KEOD English 2010 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. 6 0
A statistical approach to the impact of featured articles in Wikipedia Reinoso A.J.
Felipe Ortega
Gonzalez-Barahona J.M.
Israel Herraiz
KEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development English 2010 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. 0 0
Measuring Wikipedia: A hands-on tutorial Luca de Alfaro
Felipe Ortega
WikiSym English 2009 This tutorial is an introduction to the best methodologies, tools and practices for Wikipedia research. The tutorial will be led by Luca de Alfaro (Wiki Lab at UCSC, California, USA) and Felipe Ortega (Libresoft, URJC, Madrid, Spain). Both cumulate several years of practical experience exploring and processing Wikipedia data [1], [2], [3]. As well, their respective research groups have led the development of two cutting-edge software tools (WikiTrust and WikiXRay), for analyzing Wikipedia. WikiTrust implements an author reputation system, and a text trust system, for wikis. WikiXRay is a tool automating the quantitative analysis of any language version of Wikipedia (in general, any wiki based on MediaWiki). Copyright 0 0
Quantitative data and graphics on lexical specificity and index of readability: The case of Wikipedia Elia A. Revista Espanola de Linguistica Aplicada English 2009 This paper is part of a wider corpus based study focused on Web encyclopedias (Elia 2008). It is built on and extends the comparative analysis of Emigh and Herring (2005). In particular, attention is focused on the English edition of Wikipedia. A quantitative analysis compares Wikipedia vs. Britannica encyclopedic entries. Linguistic features such as type/token ratio, word and sentence length, and Index of Readability are analyzed. The findings show to what extent collaboratively produced Wikipedia entries are readable and standardized in a way not very dissimilar from those produced by experts in the Encyclopaedia Britannica Online. 0 0
Quantitative analysis of the top ten wikipedias Felipe Ortega
Gonzalez-Barahona J.M.
Gregorio Robles
Communications in Computer and Information Science English 2008 In a few years, Wikipedia has become one of the information systems with more public of the Internet. Based on a relatively simple architecture it has proven to be capable of supporting the largest and more diverse community of collaborative authorship worldwide. Using a quantitative methodology, (analyzing public Wikipedia databases), we describe the main characteristics of the 10 largest language editions, and the authors that work in them. The methodology is generic enough to be used on the rest of the editions, providing a convenient framework to develop a complete quantitative analysis of the Wikipedia. Among other parameters, we study the evolution of the number of contributions and articles, their size, and the differences in contributions by different authors, inferring some relationships between contribution patterns and content. These relationships reflect (and in part, explain) the evolution of the different language editions so far, as well as their future trends. 0 0
The top-ten wikipedias : A quantitative analysis using wikixray Felipe Ortega
Gonzalez-Barahona J.M.
Gregorio Robles
ICSOFT 2007 - 2nd International Conference on Software and Data Technologies, Proceedings English 2007 In a few years, Wilcipedia has become one of the information systems with more public (both producers and consumers) of the Internet. Its system and information architecture is relatively simple, but has proven to be capable of supporting the largest and more diverse community of collaborative authorship worldwide. In this paper, we analyze in detail this community, and the contents it is producing. Using a quantitative methodology based on the analysis of the public Wikipedia databases, we describe the main characteristics of the 10 largest language editions, and the authors that work in them. The methodology (which is almost completely automated) is generic enough to be used on the rest of the editions, providing a convenient framework to develop a complete quantitative analysis of the Wikipedia. Among other parameters, we study the evolution of the number of contributions and articles, their size, and the differences in contributions by different authors, inferring some relationships between contribution patterns and content. These relationships reflect (and in part, explain) the evolution of the different language editions so far, as well as their future trends. 0 0