A Systematic Review of Scholarly Research on Wikipedia Readers and Readership
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Wikimedia Conferentie Nederland 2012 Conferentieboek
http://www.wikimediaconferentie.nl WCN 2012 Conferentieboek CC-BY-SA 9:30–9:40 Opening 9:45–10:30 Lydia Pintscher: Introduction to Wikidata — the next big thing for Wikipedia and the world Wikipedia in het onderwijs Technische kant van wiki’s Wiki-gemeenschappen 10:45–11:30 Jos Punie Ralf Lämmel Sarah Morassi & Ziko van Dijk Het gebruik van Wikimedia Commons en Wikibooks in Community and ontology support for the Wikimedia Nederland, wat is dat precies? interactieve onderwijsvormen voor het secundaire onderwijs 101wiki 11:45–12:30 Tim Ruijters Sandra Fauconnier Een passie voor leren, de Nederlandse wikiversiteit Projecten van Wikimedia Nederland in 2012 en verder Bliksemsessie …+discussie …+vragensessie Lunch 13:15–14:15 Jimmy Wales 14:30–14:50 Wim Muskee Amit Bronner Lotte Belice Baltussen Wikipedia in Edurep Bridging the Gap of Multilingual Diversity Open Cultuur Data: Een bottom-up initiatief vanuit de erfgoedsector 14:55–15:15 Teun Lucassen Gerard Kuys Finne Boonen Scholieren op Wikipedia Onderwerpen vinden met DBpedia Blijf je of ga je weg? 15:30–15:50 Laura van Broekhoven & Jan Auke Brink Jeroen De Dauw Jan-Bart de Vreede 15:55–16:15 Wetenschappelijke stagiairs vertalen onderzoek naar Structured Data in MediaWiki Wikiwijs in vergelijking tot Wikiversity en Wikibooks Wikipedia–lemma 16:20–17:15 Prijsuitreiking van Wiki Loves Monuments Nederland 17:20–17:30 Afsluiting 17:30–18:30 Borrel Inhoudsopgave Organisatie 2 Voorwoord 3 09:45{10:30: Lydia Pintscher 4 13:15{14:15: Jimmy Wales 4 Wikipedia in het onderwijs 5 11:00{11:45: Jos Punie -
Wiki-Reliability: a Large Scale Dataset for Content Reliability on Wikipedia
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia KayYen Wong∗ Miriam Redi Diego Saez-Trumper Outreachy Wikimedia Foundation Wikimedia Foundation Kuala Lumpur, Malaysia London, United Kingdom Barcelona, Spain [email protected] [email protected] [email protected] ABSTRACT Wikipedia is the largest online encyclopedia, used by algorithms and web users as a central hub of reliable information on the web. The quality and reliability of Wikipedia content is maintained by a community of volunteer editors. Machine learning and information retrieval algorithms could help scale up editors’ manual efforts around Wikipedia content reliability. However, there is a lack of large-scale data to support the development of such research. To fill this gap, in this paper, we propose Wiki-Reliability, the first dataset of English Wikipedia articles annotated with a wide set of content reliability issues. To build this dataset, we rely on Wikipedia “templates”. Tem- plates are tags used by expert Wikipedia editors to indicate con- Figure 1: Example of an English Wikipedia page with several tent issues, such as the presence of “non-neutral point of view” template messages describing reliability issues. or “contradictory articles”, and serve as a strong signal for detect- ing reliability issues in a revision. We select the 10 most popular 1 INTRODUCTION reliability-related templates on Wikipedia, and propose an effective method to label almost 1M samples of Wikipedia article revisions Wikipedia is one the largest and most widely used knowledge as positive or negative with respect to each template. Each posi- repositories in the world. People use Wikipedia for studying, fact tive/negative example in the dataset comes with the full article checking and a wide set of different information needs [11]. -
Towards a Korean Dbpedia and an Approach for Complementing the Korean Wikipedia Based on Dbpedia
Towards a Korean DBpedia and an Approach for Complementing the Korean Wikipedia based on DBpedia Eun-kyung Kim1, Matthias Weidl2, Key-Sun Choi1, S¨orenAuer2 1 Semantic Web Research Center, CS Department, KAIST, Korea, 305-701 2 Universit¨at Leipzig, Department of Computer Science, Johannisgasse 26, D-04103 Leipzig, Germany [email protected], [email protected] [email protected], [email protected] Abstract. In the first part of this paper we report about experiences when applying the DBpedia extraction framework to the Korean Wikipedia. We improved the extraction of non-Latin characters and extended the framework with pluggable internationalization components in order to fa- cilitate the extraction of localized information. With these improvements we almost doubled the amount of extracted triples. We also will present the results of the extraction for Korean. In the second part, we present a conceptual study aimed at understanding the impact of international resource synchronization in DBpedia. In the absence of any informa- tion synchronization, each country would construct its own datasets and manage it from its users. Moreover the cooperation across the various countries is adversely affected. Keywords: Synchronization, Wikipedia, DBpedia, Multi-lingual 1 Introduction Wikipedia is the largest encyclopedia of mankind and is written collaboratively by people all around the world. Everybody can access this knowledge as well as add and edit articles. Right now Wikipedia is available in 260 languages and the quality of the articles reached a high level [1]. However, Wikipedia only offers full-text search for this textual information. For that reason, different projects have been started to convert this information into structured knowledge, which can be used by Semantic Web technologies to ask sophisticated queries against Wikipedia. -
How Trust in Wikipedia Evolves: a Survey of Students Aged 11 to 25
PUBLISHED QUARTERLY BY THE UNIVERSITY OF BORÅS, SWEDEN VOL. 23 NO. 1, MARCH, 2018 Contents | Author index | Subject index | Search | Home How trust in Wikipedia evolves: a survey of students aged 11 to 25 Josiane Mothe and Gilles Sahut. Introduction. Whether Wikipedia is to be considered a trusted source is frequently questioned in France. This paper reports the results of a survey examining the levels of trust shown by young people aged eleven to twenty- five. Method. We analyse the answers given by 841 young people, aged eleven to twenty-five, to a questionnaire. To our knowledge, this is the largest study ever published on the topic. It focuses on (1) the perception young people have of Wikipedia; (2) the influence teachers and peers have on the young person’s own opinions; and (3) the variation of trends according to the education level. Analysis. All the analysis is based on ANOVA (analysis of variance) to compare the various groups of participants. We detail the results by comparing the various groups of responders and discuss these results in relation to previous studies. Results. Trust in Wikipedia depends on the type of information seeking tasks and on the education level. There are contrasting social judgments of Wikipedia. Students build a representation of a teacher’s expectations on the nature of the sources that they can use and hence the documentary acceptability of Wikipedia. The average trust attributed to Wikipedia for academic tasks could be induced by the tension between the negative academic reputation of the encyclopedia and the mostly positive experience of its credibility. -
The Culture of Wikipedia
Good Faith Collaboration: The Culture of Wikipedia Good Faith Collaboration The Culture of Wikipedia Joseph Michael Reagle Jr. Foreword by Lawrence Lessig The MIT Press, Cambridge, MA. Web edition, Copyright © 2011 by Joseph Michael Reagle Jr. CC-NC-SA 3.0 Purchase at Amazon.com | Barnes and Noble | IndieBound | MIT Press Wikipedia's style of collaborative production has been lauded, lambasted, and satirized. Despite unease over its implications for the character (and quality) of knowledge, Wikipedia has brought us closer than ever to a realization of the centuries-old Author Bio & Research Blog pursuit of a universal encyclopedia. Good Faith Collaboration: The Culture of Wikipedia is a rich ethnographic portrayal of Wikipedia's historical roots, collaborative culture, and much debated legacy. Foreword Preface to the Web Edition Praise for Good Faith Collaboration Preface Extended Table of Contents "Reagle offers a compelling case that Wikipedia's most fascinating and unprecedented aspect isn't the encyclopedia itself — rather, it's the collaborative culture that underpins it: brawling, self-reflexive, funny, serious, and full-tilt committed to the 1. Nazis and Norms project, even if it means setting aside personal differences. Reagle's position as a scholar and a member of the community 2. The Pursuit of the Universal makes him uniquely situated to describe this culture." —Cory Doctorow , Boing Boing Encyclopedia "Reagle provides ample data regarding the everyday practices and cultural norms of the community which collaborates to 3. Good Faith Collaboration produce Wikipedia. His rich research and nuanced appreciation of the complexities of cultural digital media research are 4. The Puzzle of Openness well presented. -
Name of the Tool Citizendium Home Page Logo URL En.Citizendium
Name of the Tool Citizendium Home Page Logo URL en.citizendium.org Subject Encyclopedias Accessibility Free Language English Publisher CZ: Media Assets Workgroup Brief History It is an English-language Wiki-based free encyclopedia project launched by Larry Sanger, who had previously co - founded Wikipedia in 2001. It had launched on 23 October 2006 (as pilot project) and on 25 March 2007 (publicly). Scope and Coverage It serves all over the world and provides the access and modifications of information related to the “parent topics” or main topics like Natural Sciences, Social Sciences, Humanities, Arts, Applied arts and sciences, Recreation. Under each main topic or parent topic, there is hyperlinked list of sub topics and other related topics. As for example, under the main topic “ Natural Sciences” there is a following list of “Subtopics” and “Other related topics”: Subtopics Physics Chemistry Biology Astronomy Earth science Mathematics Other related topics Natural philosophy Natural history Applied science Health science Geology Under the main topic “Humanities” there is a list of following topics: Subtopics Classics History Literature Philosophy Religion Theology Other related topics Art Applied arts Education Law Music Science Social science Scholarship Society Theatre The encyclopedia includes total number of 16,891 articles when last accessed. Kind of Information Every article under subtopics and other related topics is provided with “Talk”, “Related Articles”, “Biography”, “External Links”, “Citable Version”, “Video” related to that article. Brief description, history of a topic etc. are present in the articles. Coloured images on topics, charts, graphs etc. are available where applicable. Notes and references are also found after the articles. -
Chaudron: Extending Dbpedia with Measurement Julien Subercaze
Chaudron: Extending DBpedia with measurement Julien Subercaze To cite this version: Julien Subercaze. Chaudron: Extending DBpedia with measurement. 14th European Semantic Web Conference, Eva Blomqvist, Diana Maynard, Aldo Gangemi, May 2017, Portoroz, Slovenia. hal- 01477214 HAL Id: hal-01477214 https://hal.archives-ouvertes.fr/hal-01477214 Submitted on 27 Feb 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Chaudron: Extending DBpedia with measurement Julien Subercaze1 Univ Lyon, UJM-Saint-Etienne, CNRS Laboratoire Hubert Curien UMR 5516, F-42023, SAINT-ETIENNE, France [email protected] Abstract. Wikipedia is the largest collaborative encyclopedia and is used as the source for DBpedia, a central dataset of the LOD cloud. Wikipedia contains numerous numerical measures on the entities it describes, as per the general character of the data it encompasses. The DBpedia In- formation Extraction Framework transforms semi-structured data from Wikipedia into structured RDF. However this extraction framework of- fers a limited support to handle measurement in Wikipedia. In this paper, we describe the automated process that enables the creation of the Chaudron dataset. We propose an alternative extraction to the tra- ditional mapping creation from Wikipedia dump, by also using the ren- dered HTML to avoid the template transclusion issue. -
SI 410 Ethics and Information Technology
Author(s): Paul Conway, PhD, 2010 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/ We have reviewed this material in accordance with U.S. Copyright Law and have tried to maximize your ability to use, share, and adapt it. The citation key on the following slide provides information about how you may share and adapt this material. Copyright holders of content included in this material should contact [email protected] with any questions, corrections, or clarification regarding the use of content. For more information about how to cite these materials visit http://open.umich.edu/privacy-and-terms-use. Any medical information in this material is intended to inform and educate and is not a tool for self-diagnosis or a replacement for medical evaluation, advice, diagnosis or treatment by a healthcare professional. Please speak to your physician if you have questions about your medical condition. Viewer discretion is advised: Some medical content is graphic and may not be suitable for all viewers. Citation Key for more information see: http://open.umich.edu/wiki/CitationPolicy Use + Share + Adapt { Content the copyright holder, author, or law permits you to use, share and adapt. } Public Domain – Government: Works that are produced by the U.S. Government. (17 USC § 105) Public Domain – Expired: Works that are no longer protected due to an expired copyright term. Public Domain – Self Dedicated: Works that a copyright holder has dedicated to the public domain. -
Wiki-Metasemantik: a Wikipedia-Derived Query Expansion Approach Based on Network Properties
Wiki-MetaSemantik: A Wikipedia-derived Query Expansion Approach based on Network Properties D. Puspitaningrum1, G. Yulianti2, I.S.W.B. Prasetya3 1,2Department of Computer Science, The University of Bengkulu WR Supratman St., Kandang Limun, Bengkulu 38371, Indonesia 3Department of Information and Computing Sciences, Utrecht University PO Box 80.089, 3508 TB Utrecht, The Netherlands E-mails: [email protected], [email protected], [email protected] Pseudo-Relevance Feedback (PRF) query expansions suffer Abstract- This paper discusses the use of Wikipedia for building from several drawbacks such as query-topic drift [8][10] and semantic ontologies to do Query Expansion (QE) in order to inefficiency [21]. Al-Shboul and Myaeng [1] proposed a improve the search results of search engines. In this technique, technique to alleviate topic drift caused by words ambiguity selecting related Wikipedia concepts becomes important. We and synonymous uses of words by utilizing semantic propose the use of network properties (degree, closeness, and pageRank) to build an ontology graph of user query concept annotations in Wikipedia pages, and enrich queries with which is derived directly from Wikipedia structures. The context disambiguating phrases. Also, in order to avoid resulting expansion system is called Wiki-MetaSemantik. We expansion of mistranslated words, a query expansion method tested this system against other online thesauruses and ontology using link texts of a Wikipedia page has been proposed [9]. based QE in both individual and meta-search engines setups. Furthermore, since not all hyperlinks are helpful for QE task Despite that our system has to build a Wikipedia ontology graph though (e.g. -
Télécharger Le Texte Intégral En Format
ANNUAIRE FRANÇAIS DE RELATIONS INTERNATIONALES 2019 Volume XX PUBLICATION COURONNÉE PAR L’ACADÉMIE DES SCIENCES MORALES ET POLITIQUES (Prix de la Fondation Edouard Bonnefous, 2008) Université Panthéon-Assas Centre Thucydide AFRI_2019_v3_1124p.indd 3 24/04/2019 11:44 WIKIPÉDIA PAR VALÉRIE NICOLAS (*) Wikipédia (1) est un site Internet collaboratif qui se décrit lui-même comme « encyclopédie en libre accès, en lecture comme en écriture » (2). Multilingue, ce site est servi par un logiciel identique le Mediawiki. Il est adossé à une fondation à but non lucratif Wikimedia, qui assure son fonctionnement et gère d’autres projets frères. Le contenu de Wikipédia est disponible sous licence libre (3). Ainsi chacun peut le recopier, le modifier et l’utiliser. Le projet encyclopédique est alimenté par chaque utilisateur par une écriture collaborative, participative et bénévole. Crée en 2001 par deux ressortissants américains (4), Wikipédia (WP) est en 2014 le 5e site le plus fréquenté au monde (5). 500 millions de visiteurs le consultent chaque mois. Il offre aux lecteurs plus de 30 millions d’articles dans plus de 300 versions linguistiques. La version en anglais – matrice du projet –, compte plus de 5 millions de contributions. Les chiffres sont évocateurs du formidable recueil de connaissances que WP constitue. Internet est le moteur et le vecteur du succès du projet Wikipédia. Internet est un réseau de réseaux informatiques international organisé grâce à un protocole unique de communication (TCP/IP). Outil de communication, le World Wide Web (Web), un des services fournis par le réseau (6), a bouleversé les échanges entre les individus. Le réseau permet leur multiplication sans considération de frontières, ni de temps. -
Navigating Dbpedia by Topic Tanguy Raynaud, Julien Subercaze, Delphine Boucard, Vincent Battu, Frederique Laforest
Fouilla: Navigating DBpedia by Topic Tanguy Raynaud, Julien Subercaze, Delphine Boucard, Vincent Battu, Frederique Laforest To cite this version: Tanguy Raynaud, Julien Subercaze, Delphine Boucard, Vincent Battu, Frederique Laforest. Fouilla: Navigating DBpedia by Topic. CIKM 2018, Oct 2018, Turin, Italy. hal-01860672 HAL Id: hal-01860672 https://hal.archives-ouvertes.fr/hal-01860672 Submitted on 23 Aug 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Fouilla: Navigating DBpedia by Topic Tanguy Raynaud, Julien Subercaze, Delphine Boucard, Vincent Battu, Frédérique Laforest Univ Lyon, UJM Saint-Etienne, CNRS, Laboratoire Hubert Curien UMR 5516 Saint-Etienne, France [email protected] ABSTRACT only the triples that concern this topic. For example, a user is inter- Navigating large knowledge bases made of billions of triples is very ested in Italy through the prism of Sports while another through the challenging. In this demonstration, we showcase Fouilla, a topical prism of Word War II. For each of these topics, the relevant triples Knowledge Base browser that offers a seamless navigational expe- of the Italy entity differ. In such circumstances, faceted browsing rience of DBpedia. We propose an original approach that leverages offers no solution to retrieve the entities relative to a defined topic both structural and semantic contents of Wikipedia to enable a if the knowledge graph does not explicitly contain an adequate topic-oriented filter on DBpedia entities. -
Wikipedia Citations: a Comprehensive Data Set of Citations with Identifiers Extracted from English Wikipedia
RESEARCH ARTICLE Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia Harshdeep Singh1 , Robert West1 , and Giovanni Colavizza2 an open access journal 1Data Science Laboratory, EPFL 2Institute for Logic, Language and Computation, University of Amsterdam Keywords: citations, data, data set, Wikipedia Downloaded from http://direct.mit.edu/qss/article-pdf/2/1/1/1906624/qss_a_00105.pdf by guest on 01 October 2021 Citation: Singh, H., West, R., & ABSTRACT Colavizza, G. (2020). Wikipedia citations: A comprehensive data set Wikipedia’s content is based on reliable and published sources. To this date, relatively little of citations with identifiers extracted from English Wikipedia. Quantitative is known about what sources Wikipedia relies on, in part because extracting citations Science Studies, 2(1), 1–19. https:// and identifying cited sources is challenging. To close this gap, we release Wikipedia doi.org/10.1162/qss_a_00105 Citations, a comprehensive data set of citations extracted from Wikipedia. We extracted DOI: 29.3 million citations from 6.1 million English Wikipedia articles as of May 2020, and https://doi.org/10.1162/qss_a_00105 classified as being books, journal articles, or Web content. We were thus able to extract Received: 14 July 2020 4.0 million citations to scholarly publications with known identifiers—including DOI, PMC, Accepted: 23 November 2020 PMID, and ISBN—and further equip an extra 261 thousand citations with DOIs from Crossref. Corresponding Author: As a result, we find that 6.7% of Wikipedia articles cite at least one journal article with Giovanni Colavizza [email protected] an associated DOI, and that Wikipedia cites just 2% of all articles with a DOI currently indexed in the Web of Science.