Visual Narratives and Collective Memory Across Peer-Produced Accounts of Contested Sociopolitical Events
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Cultural Anthropology Through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-Based Sentiment
Cultural Anthropology through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-based Sentiment Peter A. Gloor, Joao Marcos, Patrick M. de Boer, Hauke Fuehres, Wei Lo, Keiichi Nemoto [email protected] MIT Center for Collective Intelligence Abstract In this paper we study the differences in historical World View between Western and Eastern cultures, represented through the English, the Chinese, Japanese, and German Wikipedia. In particular, we analyze the historical networks of the World’s leaders since the beginning of written history, comparing them in the different Wikipedias and assessing cultural chauvinism. We also identify the most influential female leaders of all times in the English, German, Spanish, and Portuguese Wikipedia. As an additional lens into the soul of a culture we compare top terms, sentiment, emotionality, and complexity of the English, Portuguese, Spanish, and German Wikinews. 1 Introduction Over the last ten years the Web has become a mirror of the real world (Gloor et al. 2009). More recently, the Web has also begun to influence the real world: Societal events such as the Arab spring and the Chilean student unrest have drawn a large part of their impetus from the Internet and online social networks. In the meantime, Wikipedia has become one of the top ten Web sites1, occasionally beating daily newspapers in the actuality of most recent news. Be it the resignation of German national soccer team captain Philipp Lahm, or the downing of Malaysian Airlines flight 17 in the Ukraine by a guided missile, the corresponding Wikipedia page is updated as soon as the actual event happened (Becker 2012. -
A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages
Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 2373–2380 Marseille, 11–16 May 2020 c European Language Resources Association (ELRA), licensed under CC-BY-NC A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages Dwaipayan Roy, Sumit Bhatia, Prateek Jain GESIS - Cologne, IBM Research - Delhi, IIIT - Delhi [email protected], [email protected], [email protected] Abstract Wikipedia is the largest web-based open encyclopedia covering more than three hundred languages. However, different language editions of Wikipedia differ significantly in terms of their information coverage. We present a systematic comparison of information coverage in English Wikipedia (most exhaustive) and Wikipedias in eight other widely spoken languages (Arabic, German, Hindi, Korean, Portuguese, Russian, Spanish and Turkish). We analyze the content present in the respective Wikipedias in terms of the coverage of topics as well as the depth of coverage of topics included in these Wikipedias. Our analysis quantifies and provides useful insights about the information gap that exists between different language editions of Wikipedia and offers a roadmap for the Information Retrieval (IR) community to bridge this gap. Keywords: Wikipedia, Knowledge base, Information gap 1. Introduction other with respect to the coverage of topics as well as Wikipedia is the largest web-based encyclopedia covering the amount of information about overlapping topics. -
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. -
International Journal of Computational Linguistics
International Journal of Computational Linguistics & Chinese Language Processing Aims and Scope International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP) is an international journal published by the Association for Computational Linguistics and Chinese Language Processing (ACLCLP). This journal was founded in August 1996 and is published four issues per year since 2005. This journal covers all aspects related to computational linguistics and speech/text processing of all natural languages. Possible topics for manuscript submitted to the journal include, but are not limited to: • Computational Linguistics • Natural Language Processing • Machine Translation • Language Generation • Language Learning • Speech Analysis/Synthesis • Speech Recognition/Understanding • Spoken Dialog Systems • Information Retrieval and Extraction • Web Information Extraction/Mining • Corpus Linguistics • Multilingual/Cross-lingual Language Processing Membership & Subscriptions If you are interested in joining ACLCLP, please see appendix for further information. Copyright © The Association for Computational Linguistics and Chinese Language Processing International Journal of Computational Linguistics and Chinese Language Processing is published four issues per volume by the Association for Computational Linguistics and Chinese Language Processing. Responsibility for the contents rests upon the authors and not upon ACLCLP, or its members. Copyright by the Association for Computational Linguistics and Chinese Language Processing. All rights reserved. No part of this journal may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical photocopying, recording or otherwise, without prior permission in writing form from the Editor-in Chief. Cover Calligraphy by Professor Ching-Chun Hsieh, founding president of ACLCLP Text excerpted and compiled from ancient Chinese classics, dating back to 700 B.C. -
China Date: 8 January 2007
Refugee Review Tribunal AUSTRALIA RRT RESEARCH RESPONSE Research Response Number: CHN31098 Country: China Date: 8 January 2007 Keywords: China – Taiwan Strait – 2006 Military exercises – Typhoons This response was prepared by the Country Research Section of the Refugee Review Tribunal (RRT) after researching publicly accessible information currently available to the RRT within time constraints. This response is not, and does not purport to be, conclusive as to the merit of any particular claim to refugee status or asylum. Questions 1. Is there corroborating information about military manoeuvres and exercises in Pingtan? 2. Is there any information specifically about the military exercise there in July 2006? 3. Is there any information about “Army day” on 1 August 2006? 4. What are the aquatic farming/fishing activities carried out in that area? 5. Has there been pollution following military exercises along the Taiwan Strait? 6. The delegate makes reference to independent information that indicates that from May until August 2006 China particularly the eastern coast was hit by a succession of storms and typhoons. The last one being the hardest to hit China in 50 years. Could I have information about this please? The delegate refers to typhoon Prapiroon. What information is available about that typhoon? 7. The delegate was of the view that military exercises would not be organised in typhoon season, particularly such a bad one. Is there any information to assist? RESPONSE 1. Is there corroborating information about military manoeuvres and exercises in Pingtan? 2. Is there any information specifically about the military exercise there in July 2006? There is a minor naval base in Pingtan and military manoeuvres are regularly held in the Taiwan Strait where Pingtan in located, especially in the June to August period. -
THE CASE of WIKIPEDIA Shane Greenstein Feng Zhu
NBER WORKING PAPER SERIES COLLECTIVE INTELLIGENCE AND NEUTRAL POINT OF VIEW: THE CASE OF WIKIPEDIA Shane Greenstein Feng Zhu Working Paper 18167 http://www.nber.org/papers/w18167 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 June 2012 The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peer- reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications. © 2012 by Shane Greenstein and Feng Zhu. All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that full credit, including © notice, is given to the source. Collective Intelligence and Neutral Point of View: The Case of Wikipedia Shane Greenstein and Feng Zhu NBER Working Paper No. 18167 June 2012 JEL No. L17,L3,L86 ABSTRACT We examine whether collective intelligence helps achieve a neutral point of view using data from a decade of Wikipedia’s articles on US politics. Our null hypothesis builds on Linus’ Law, often expressed as “Given enough eyeballs, all bugs are shallow.” Our findings are consistent with a narrow interpretation of Linus’ Law, namely, a greater number of contributors to an article makes an article more neutral. No evidence supports a broad interpretation of Linus’ Law. Moreover, several empirical facts suggest the law does not shape many articles. The majority of articles receive little attention, and most articles change only mildly from their initial slant. -
A Natural Experiment at Chinese Wikipedia
American Economic Review 101 (June 2011): 1601–1615 http://www.aeaweb.org/articles.php?doi 10.1257/aer.101.4.1601 = Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia By Xiaoquan Michael Zhang and Feng Zhu* ( ) Many public goods on the Internet today rely entirely on free user contributions. Popular examples include open source software development communities e.g., ( Linux, Apache , open content production e.g., Wikipedia, OpenCourseWare , and ) ( ) content sharing networks e.g., Flickr, YouTube . Several studies have examined the ( ) incentives that motivate these free contributors e.g., Josh Lerner and Jean Tirole ( 2002; Karim R. Lakhani and Eric von Hippel 2003 . ) In this paper, we examine the causal relationship between group size and incen- tives to contribute in the setting of Chinese Wikipedia, the Chinese language ver- sion of an online encyclopedia that relies entirely on voluntary contributions. The group at Chinese Wikipedia is composed of Chinese-speaking people in mainland China, Taiwan, Hong Kong, Singapore, and other regions in the world, who are aware of Chinese Wikipedia and have access to it. Our identification hinges on the exogenous reduction in group size at Chinese Wikipedia as a result of the block of Chinese Wikipedia in mainland China in October 2005. During the block, mainland Chinese could not use or contribute to Chinese Wikipedia, although contributors outside mainland China could continue to do so. We find that contribution levels of these nonblocked contributors decrease by 42.8 percent on average as a result of the block. We attribute the cause to social effects: contributors receive social benefits from their contributions, and the shrinking group size reduces these social benefits. -
Texts from De.Wikipedia.Org, De.Wikisource.Org
Texts from http://www.gutenberg.org/files/13635/13635-h/13635-h.htm, de.wikipedia.org, de.wikisource.org BRITISH AND GERMAN AUTHORS AND Contents: INTELLECTUALS CONFRONT EACH OTHER IN 1914 1. British authors defend England’s war (17 September) The material here collected consists of altercations between British and German men of letters and professors in the first 2. Appeal of the 93 German professors “to the world of months of the First World War. Remarkably they present culture” (4 October 1914) themselves as collective bodies and as an authoritative voice on — 2a. German version behalf of their nation. — 2b. English version The English-language materials given here were published in, 3. Declaration of the German university professors (16 and have been quoted from, The New York Times Current October 1914) History: A Monthly Magazine ("The European War", vol. 1: — 3a. German version "From the beginning to March 1915"; New York: The New — 3b. English version York Times Company 1915), online on Project Gutenberg (www.gutenberg.org). That same source also contains many 4. Reply to the German professors, by British scholars interventions written à titre personnel by individuals, including (21 October 1914) G.B. Shaw, H.G. Wells, Arnold Bennett, John Galsworthy, Jerome K. Jerome, Rudyard Kipling, G.K. Chesterton, H. Rider Haggard, Robert Bridges, Arthur Conan Doyle, Maurice Maeterlinck, Henri Bergson, Romain Rolland, Gerhart Hauptmann and Adolf von Harnack (whose open letter "to Americans in Germany" provoked a response signed by 11 British theologians). The German texts given here here can be found, with backgrounds, further references and more precise datings, in the German wikipedia article "Manifest der 93" and the German wikisource article “Erklärung der Hochschullehrer des Deutschen Reiches” (in a version dated 23 October 1914, with French parallel translation, along with the names of all 3000 signatories). -
100125-Wikimedia Feb Board Background Final2 Objectives for This Document
Wikimedia Foundation Board Meeting Pre-read January 2010 Imagine a world in which every single human being can freely share in the sum of all knowledge. That's our commitment. Contents • Strategic planning process update • Goal setting • Priority 1: Building the platform • Priority 2: Strengthening the editing community • Priority 3: Accelerating impact through innovation and experimentation • Implications for the Foundation TBG 100125-Wikimedia_Feb Board Background_Final2 Objectives for this document • Provide reminder on design of strategic planning process and current stage of work • Highlight research and analysis that informed the development of priorities for the Wikimedia Foundation • Introduce action items, including priorities for 2010-11 annual plan to be discussed at Board meeting in February TBG 100125-Wikimedia_Feb Board Background_Final3 A reminder: Two interdependent objectives for the planning work • Define a strategic direction that advances the Wikimedia vision over the next five years • Broader reach and participation • Improved quality and scope of content • Defined community roles and partnerships • Develop a business plan to guide Wikimedia Foundation in executing this direction • Organization, capabilities, and governance • Technology strategy and infrastructure • Economics, cost structure, and funding models TBG 100125-Wikimedia_Feb Board Background_Final4 Our frame for developing the strategic direction and Wikimedia Foundation’s business plan • Wikimedia’s vision is “a world in which every single human being can -
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. -
Word Segmentation for Chinese Wikipedia Using N-Gram Mutual Information
Word Segmentation for Chinese Wikipedia Using N-Gram Mutual Information Ling-Xiang Tang1, Shlomo Geva1, Yue Xu1 and Andrew Trotman2 1School of Information Technology Faculty of Science and Technology Queensland University of Technology Queensland 4000 Australia {l4.tang, s.geva, yue.xu}@qut.edu.au 2Department of Computer Science Universityof Otago Dunedin 9054 New Zealand [email protected] Abstract In this paper, we propose an unsupervised seg- is called 激光打印机 in mainland China, but 鐳射打印機 in mentation approach, named "n-gram mutual information", or Hongkong, and 雷射印表機 in Taiwan. NGMI, which is used to segment Chinese documents into n- In digital representations of Chinese text different encoding character words or phrases, using language statistics drawn schemes have been adopted to represent the characters. How- from the Chinese Wikipedia corpus. The approach allevi- ever, most encoding schemes are incompatible with each other. ates the tremendous effort that is required in preparing and To avoid the conflict of different encoding standards and to maintaining the manually segmented Chinese text for train- cater for people's linguistic preferences, Unicode is often used ing purposes, and manually maintaining ever expanding lex- in collaborative work, for example in Wikipedia articles. With icons. Previously, mutual information was used to achieve Unicode, Chinese articles can be composed by people from all automated segmentation into 2-character words. The NGMI the above Chinese-speaking areas in a collaborative way with- approach extends the approach to handle longer n-character out encoding difficulties. As a result, these different forms of words. Experiments with heterogeneous documents from the Chinese writings and variants may coexist within same pages.