WIKIPEDIA REPORT II Deliverable 6.6
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DM2E: Digitised Manuscripts to Europeana Project ID Card
European Commission - Information Society projects DM2E: Digitised Manuscripts to Europeana Project ID card The projects aims to technically enable as many content providers as possible to integrate Funded under: The their content into Europeana. Since different providers make their data available in different Information and formats, a tool has to be developed that converts metadata from a diverse range of source Communication formats into the EDM (Europeana Data Model). During the project, this will exemplarily be Technologies Policy Support done for the autograph database Kalliope (Staatsbibliothek zu Berlin), the German text archive Programme Deutsches Textarchiv (Berlin-Brandenburgische Akademie der Wissenschaften), as well as Area: CIP-ICT-PSP.2011.2.1 content of the Austrian national library (Österreichische Nationalbibliothek) plus a number of - Aggregating content in other sources. Metadata providers are strongly encouraged to make their data available under Europeana CC0, as all other licenses hamper further use by Europeana and scholars. Finally, Europeana is going to provide the aggregated data in a form which allows Digital Humanities scholars to Total cost: €2.62m make best use of them. In addition, basic services / functionalities (modeled on the humanities' EU contribution: €2.10m “scholarly primitives”) will be provided by Europeana. In this perspective, the proposed project is in line with theme 2 of the call (Digital Content) and targets its objective 2.1 (Aggregating Project reference: 297274 content in Europeana). -
Modeling Popularity and Reliability of Sources in Multilingual Wikipedia
information Article Modeling Popularity and Reliability of Sources in Multilingual Wikipedia Włodzimierz Lewoniewski * , Krzysztof W˛ecel and Witold Abramowicz Department of Information Systems, Pozna´nUniversity of Economics and Business, 61-875 Pozna´n,Poland; [email protected] (K.W.); [email protected] (W.A.) * Correspondence: [email protected] Received: 31 March 2020; Accepted: 7 May 2020; Published: 13 May 2020 Abstract: One of the most important factors impacting quality of content in Wikipedia is presence of reliable sources. By following references, readers can verify facts or find more details about described topic. A Wikipedia article can be edited independently in any of over 300 languages, even by anonymous users, therefore information about the same topic may be inconsistent. This also applies to use of references in different language versions of a particular article, so the same statement can have different sources. In this paper we analyzed over 40 million articles from the 55 most developed language versions of Wikipedia to extract information about over 200 million references and find the most popular and reliable sources. We presented 10 models for the assessment of the popularity and reliability of the sources based on analysis of meta information about the references in Wikipedia articles, page views and authors of the articles. Using DBpedia and Wikidata we automatically identified the alignment of the sources to a specific domain. Additionally, we analyzed the changes of popularity and reliability in time and identified growth leaders in each of the considered months. The results can be used for quality improvements of the content in different languages versions of Wikipedia. -
Omnipedia: Bridging the Wikipedia Language
Omnipedia: Bridging the Wikipedia Language Gap Patti Bao*†, Brent Hecht†, Samuel Carton†, Mahmood Quaderi†, Michael Horn†§, Darren Gergle*† *Communication Studies, †Electrical Engineering & Computer Science, §Learning Sciences Northwestern University {patti,brent,sam.carton,quaderi}@u.northwestern.edu, {michael-horn,dgergle}@northwestern.edu ABSTRACT language edition contains its own cultural viewpoints on a We present Omnipedia, a system that allows Wikipedia large number of topics [7, 14, 15, 27]. On the other hand, readers to gain insight from up to 25 language editions of the language barrier serves to silo knowledge [2, 4, 33], Wikipedia simultaneously. Omnipedia highlights the slowing the transfer of less culturally imbued information similarities and differences that exist among Wikipedia between language editions and preventing Wikipedia’s 422 language editions, and makes salient information that is million monthly visitors [12] from accessing most of the unique to each language as well as that which is shared information on the site. more widely. We detail solutions to numerous front-end and algorithmic challenges inherent to providing users with In this paper, we present Omnipedia, a system that attempts a multilingual Wikipedia experience. These include to remedy this situation at a large scale. It reduces the silo visualizing content in a language-neutral way and aligning effect by providing users with structured access in their data in the face of diverse information organization native language to over 7.5 million concepts from up to 25 strategies. We present a study of Omnipedia that language editions of Wikipedia. At the same time, it characterizes how people interact with information using a highlights similarities and differences between each of the multilingual lens. -
10Annual Report
ANNUAL REPORT 1A de0cade of democratising culture 2018 COLOPHON TABLE OF CONTENTS The Europeana Foundation is an Europeana Foundation A decade of democratising culture independent foundation, registered Prins Willem-Alexanderhof 5 under Dutch Law and has its offices in the 2595 BE Den Haag Table of contents 3 Koninklijke Bibliotheek in The Hague, The Netherlands Netherlands. Foreword 4 www.europeana.eu 1. Participants share 600 personal stories with Europeana Migration 6 Our mission: ‘We transform the world pro.europeana.eu 2. Public transcribes 2,800 WWI handwritten documents 7 with culture’. We build on Europe’s rich cultural heritage and make it easier 3. New aggregation workflow transforms data ingestion process 8 for people to use for work, learning or 4. Europeana Network Association launches six specialist communities 9 pleasure. Our work contributes to an open, 5. EuropeanaTech inspires innovators to forge the future of digital 10 knowledgeable and creative society. 6. Europeana Collections updates make content more discoverable 11 The Europeana Foundation is the leader 7. Transformative cultural heritage shapes Impact Playbook 12 of a consortium that is the operator of the 8. Scholars harness cultural heritage in WWI research projects 13 Europeana Digital Service Infrastructure 9. 2,000 teachers upskill with ‘Europeana in your classroom’ MOOC 14 (DSI), funded by the Connecting Europe Facility of the European Union. 10. Creatives get playful with digital culture 15 Key Performance Indicators (KPIs) 16 In addition, the Europeana -
An Analysis of Contributions to Wikipedia from Tor
Are anonymity-seekers just like everybody else? An analysis of contributions to Wikipedia from Tor Chau Tran Kaylea Champion Andrea Forte Department of Computer Science & Engineering Department of Communication College of Computing & Informatics New York University University of Washington Drexel University New York, USA Seatle, USA Philadelphia, USA [email protected] [email protected] [email protected] Benjamin Mako Hill Rachel Greenstadt Department of Communication Department of Computer Science & Engineering University of Washington New York University Seatle, USA New York, USA [email protected] [email protected] Abstract—User-generated content sites routinely block contri- butions from users of privacy-enhancing proxies like Tor because of a perception that proxies are a source of vandalism, spam, and abuse. Although these blocks might be effective, collateral damage in the form of unrealized valuable contributions from anonymity seekers is invisible. One of the largest and most important user-generated content sites, Wikipedia, has attempted to block contributions from Tor users since as early as 2005. We demonstrate that these blocks have been imperfect and that thousands of attempts to edit on Wikipedia through Tor have been successful. We draw upon several data sources and analytical techniques to measure and describe the history of Tor editing on Wikipedia over time and to compare contributions from Tor users to those from other groups of Wikipedia users. Fig. 1. Screenshot of the page a user is shown when they attempt to edit the Our analysis suggests that although Tor users who slip through Wikipedia article on “Privacy” while using Tor. Wikipedia’s ban contribute content that is more likely to be reverted and to revert others, their contributions are otherwise similar in quality to those from other unregistered participants and to the initial contributions of registered users. -
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT C Features that we build to improve our technology A Foundation level goals offering B Features we build for others D Modernization, renewal and tech debt goals The goals in each team pack are annotated using this scheme illustrate the broad trends in our priorities Agenda ● CTO Team ● Research and Data ● Design Research ● Performance ● Release Engineering ● Security ● Technical Operations Photos (left to right) Technology (Services) CTO July 2017 quarterly check-in All content is © Wikimedia Foundation & available under CC BY-SA 4.0, unless noted otherwise. CTO Team ● Victoria Coleman - Chief Technology Officer ● Joel Aufrecht - Program Manager (Technology) ● Lani Goto - Project Assistant ● Megan Neisler - Senior Project Coordinator ● Sarah Rodlund - Senior Project Coordinator ● Kevin Smith - Program Manager (Engineering) Photos (left to right) CHECK IN TEAM/DEPT PROGRAM WIKIMEDIA FOUNDATION July 2017 CTO 4.5 [LINK] ANNUAL PLAN GOAL: expand and strengthen our technical communities What is your objective / Who are you working with? What impact / deliverables are you expecting? workflow? Program 4: Technical LAST QUARTER community building (none) Outcome 5: Organize Wikimedia Developer Summit NEXT QUARTER Objective 1: Developer Technical Collaboration Decide on event location, dates, theme, deadlines, etc. Summit web page and publicize the information published four months before the event (B) STATUS: OBJECTIVE IN PROGRESS Technology (Services) Research and Data July, 2017 quarterly -
Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science
(forthcoming in the Journal of the Association for Information Science and Technology) Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science Misha Teplitskiy Grace Lu Eamon Duede Dept. of Sociology and KnowledgeLab Computation Institute and KnowledgeLab University of Chicago KnowledgeLab University of Chicago [email protected] University of Chicago [email protected] (773) 834-4787 [email protected] (773) 834-4787 5735 South Ellis Avenue (773) 834-4787 5735 South Ellis Avenue Chicago, Illinois 60637 5735 South Ellis Avenue Chicago, Illinois 60637 Chicago, Illinois 60637 Abstract With the rise of Wikipedia as a first-stop source for scientific knowledge, it is important to compare its representation of that knowledge to that of the academic literature. Here we identify the 250 most heavi- ly used journals in each of 26 research fields (4,721 journals, 19.4M articles in total) indexed by the Scopus database, and test whether topic, academic status, and accessibility make articles from these journals more or less likely to be referenced on Wikipedia. We find that a journal’s academic status (im- pact factor) and accessibility (open access policy) both strongly increase the probability of its being ref- erenced on Wikipedia. Controlling for field and impact factor, the odds that an open access journal is referenced on the English Wikipedia are 47% higher compared to paywall journals. One of the implica- tions of this study is that a major consequence of open access policies is to significantly amplify the dif- fusion of science, through an intermediary like Wikipedia, to a broad audience. Word count: 7894 Introduction Wikipedia, one of the most visited websites in the world1, has become a destination for information of all kinds, including information about science (Heilman & West, 2015; Laurent & Vickers, 2009; Okoli, Mehdi, Mesgari, Nielsen, & Lanamäki, 2014; Spoerri, 2007). -
Florida State University Libraries
)ORULGD6WDWH8QLYHUVLW\/LEUDULHV 2020 Wiki-Donna: A Contribution to a More Gender-Balanced History of Italian Literature Online Zoe D'Alessandro Follow this and additional works at DigiNole: FSU's Digital Repository. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY COLLEGE OF ARTS & SCIENCES WIKI-DONNA: A CONTRIBUTION TO A MORE GENDER-BALANCED HISTORY OF ITALIAN LITERATURE ONLINE By ZOE D’ALESSANDRO A Thesis submitted to the Department of Modern Languages and Linguistics in partial fulfillment of the requirements for graduation with Honors in the Major Degree Awarded: Spring, 2020 The members of the Defense Committee approve the thesis of Zoe D’Alessandro defended on April 20, 2020. Dr. Silvia Valisa Thesis Director Dr. Celia Caputi Outside Committee Member Dr. Elizabeth Coggeshall Committee Member Introduction Last year I was reading Una donna (1906) by Sibilla Aleramo, one of the most important works in Italian modern literature and among the very first explicitly feminist works in the Italian language. Wanting to know more about it, I looked it up on Wikipedia. Although there exists a full entry in the Italian Wikipedia (consisting of a plot summary, publishing information, and external links), the corresponding page in the English Wikipedia consisted only of a short quote derived from a book devoted to gender studies, but that did not address that specific work in great detail. As in-depth and ubiquitous as Wikipedia usually is, I had never thought a work as important as this wouldn’t have its own page. This discovery prompted the question: if this page hadn’t been translated, what else was missing? And was this true of every entry for books across languages, or more so for women writers? My work in expanding the entry for Una donna was the beginning of my exploration into the presence of Italian women writers in the Italian and English Wikipedias, and how it relates back to canon, Wikipedia, and gender studies. -
Mapping the Nature of Content and Processes on the English Wikipedia
‘Creating Knowledge’: Mapping the nature of content and processes on the English Wikipedia Report submitted by Sohnee Harshey M. Phil Scholar, Advanced Centre for Women's Studies Tata Institute of Social Sciences Mumbai April 2014 Study Commissioned by the Higher Education Innovation and Research Applications (HEIRA) Programme, Centre for the Study of Culture and Society, Bangalore as part of an initiative on ‘Mapping Digital Humanities in India’, in collaboration with the Centre for Internet and Society, Bangalore. Supported by the Ford Foundation’s ‘Pathways to Higher Education Programme’ (2009-13) Introduction Run a search on Google and one of the first results to show up would be a Wikipedia entry. So much so, that from ‘googled it’, the phrase ‘wikied it’ is catching up with students across university campuses. The Wikipedia, which is a ‘collaboratively edited, multilingual, free Internet encyclopedia’1, is hugely popular simply because of the range and extent of topics covered in a format that is now familiar to most people using the internet. It is not unknown that the ‘quick ready reference’ nature of Wikipedia makes it a popular source even for those in the higher education system-for quick information and even as a starting point for academic writing. Since there is no other source which is freely available on the internet-both in terms of access and information, the content from Wikipedia is thrown up when one runs searches on Google, Yahoo or other search engines. With Wikipedia now accessible on phones, the rate of distribution of information as well as the rate of access have gone up; such use necessitates that the content on this platform must be neutral and at the same time sensitive to the concerns of caste, gender, ethnicity, race etc. -
Language-Agnostic Relation Extraction from Abstracts in Wikis
information Article Language-Agnostic Relation Extraction from Abstracts in Wikis Nicolas Heist, Sven Hertling and Heiko Paulheim * ID Data and Web Science Group, University of Mannheim, Mannheim 68131, Germany; [email protected] (N.H.); [email protected] (S.H.) * Correspondence: [email protected] Received: 5 February 2018; Accepted: 28 March 2018; Published: 29 March 2018 Abstract: Large-scale knowledge graphs, such as DBpedia, Wikidata, or YAGO, can be enhanced by relation extraction from text, using the data in the knowledge graph as training data, i.e., using distant supervision. While most existing approaches use language-specific methods (usually for English), we present a language-agnostic approach that exploits background knowledge from the graph instead of language-specific techniques and builds machine learning models only from language-independent features. We demonstrate the extraction of relations from Wikipedia abstracts, using the twelve largest language editions of Wikipedia. From those, we can extract 1.6 M new relations in DBpedia at a level of precision of 95%, using a RandomForest classifier trained only on language-independent features. We furthermore investigate the similarity of models for different languages and show an exemplary geographical breakdown of the information extracted. In a second series of experiments, we show how the approach can be transferred to DBkWik, a knowledge graph extracted from thousands of Wikis. We discuss the challenges and first results of extracting relations from a larger set of Wikis, using a less formalized knowledge graph. Keywords: relation extraction; knowledge graphs; Wikipedia; DBpedia; DBkWik; Wiki farms 1. Introduction Large-scale knowledge graphs, such as DBpedia [1], Freebase [2], Wikidata [3], or YAGO [4], are usually built using heuristic extraction methods, by exploiting crowd-sourcing processes, or both [5]. -
Defending Democracy & Kristin Skare Orgeret Nordicom-Information
Defending Defending Oslo 8–11 August 2013 Democracy The 2013 NordMedia conference in Oslo marked the 40 years that had passed since the very first Nordic media conference. To acknowledge this 40-year anniversary, it made sense to have a conference theme that dealt with a major and important topic: Defending Democracy. Nordic Defending and Global Diversities in Media and Journalism. Focusing on the rela- tionship between journalism, other media practices and democracy, the plenary sessions raised questions such as: Democracy & Edited by What roles do media and journalism play in democratization • Kristin Skare Orgeret processes and what roles should they play? Nordic and Global Diversities How does the increasingly complex and omnipresent media in Media and Journalism • Hornmoen Harald field affect conditions for freedom of speech? This special issue contains the keynote speeches of Natalie Fenton, Stephen Ward and Ib Bondebjerg. A number of the conference papers have been revised and edited to become articles. Together, the articles presented should give the reader an idea of the breadth and depth of Edited by current Nordic scholarship in the area. Harald Hornmoen & Kristin Skare Orgeret SPECIAL ISSUE Nordicom Review | Volume 35 | August 2014 Nordicom-Information | Volume 36 | Number 2 | August 2014 Nordicom-Information Nordicom Review University of Gothenburg 2014 issue Special Box 713, SE 405 30 Göteborg, Sweden Telephone +46 31 786 00 00 (op.) | Fax +46 31 786 46 55 www.nordicom.gu.se | E-mail: [email protected] SPECIAL ISSUE Nordicom Review | Volume 35 | August 2014 Nordicom-Information | Volume 36 | Number 2 | August 2014 Nordicom Review Journal from the Nordic Information Centre for Media and Communication Research Editor NORDICOM invites media researchers to contri- Ulla Carlsson bute scientific articles, reviews, and debates. -
Does Wikipedia Matter? the Effect of Wikipedia on Tourist Choices Marit Hinnosaar, Toomas Hinnosaar, Michael Kummer, and Olga Slivko Discus Si On Paper No
Dis cus si on Paper No. 15-089 Does Wikipedia Matter? The Effect of Wikipedia on Tourist Choices Marit Hinnosaar, Toomas Hinnosaar, Michael Kummer, and Olga Slivko Dis cus si on Paper No. 15-089 Does Wikipedia Matter? The Effect of Wikipedia on Tourist Choices Marit Hinnosaar, Toomas Hinnosaar, Michael Kummer, and Olga Slivko First version: December 2015 This version: September 2017 Download this ZEW Discussion Paper from our ftp server: http://ftp.zew.de/pub/zew-docs/dp/dp15089.pdf Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar. Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. Does Wikipedia Matter? The Effect of Wikipedia on Tourist Choices ∗ Marit Hinnosaar† Toomas Hinnosaar‡ Michael Kummer§ Olga Slivko¶ First version: December 2015 This version: September 2017 September 25, 2017 Abstract We document a causal influence of online user-generated information on real- world economic outcomes. In particular, we conduct a randomized field experiment to test whether additional information on Wikipedia about cities affects tourists’ choices of overnight visits.