100125-Wikimedia Feb Board Background Final2 Objectives for This Document
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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. -
Presenting Wikipedia Understand
so that people Presenting Wikipedia understand Dr. Ziko van Dijk wikiteam.de Wikipedia author WMNL board WMDE Referentenprogramm wikiteam.de Motives Slides Content Preparations Motives Why going to Wikipedia lessons? Why 'ordering' them? The Wikimedia association wants your knowledge, your experiences! … My wife's father learned the profession of cooper. The article about this profession is rather short. My father-in-law could have contributed a lot. But he died. So the knowledge and the experiences about many old professions will some day 'die off'. We should not let it come that far. Also my mother-in-law died. And with her a part of the experienced history of the Expellation. And possibly my father could have contributed his personal view about some historical events, based on his experiences in the war. … My hair might be silver, but my knowledge is gold! http://www.lokalkompass.de/wesel/kultur/vhs-meine-haare-sind-silber-aber-mein-wissen-ist-gold-d91355.html What kind of hobby is Wikipedia? Come to Wikipedia and become a part of the wisdom of the crowds! Don't worry to make an error: Wikipedia articles are constantly improved by other users just like you! Wikipedia articles are written together and based on consensus! Why giving / organizing Wikipedia lessons? Preparations Wiki Encyclopedia The Concept Free Knowledge Content GFDL image filter Wikileaks controversy local visual Nupedia office Categories editor de.wikipedia Thematic Flagged John .org organizations revisions Seigenthaler GLAM free wiki principle encyclopedia knowledge -
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. -
Movement Strategy Track Report
31 March - 2 April 2017 Berlin Movement Strategy Track Report 1 [ Table of Contents ] Introduction [ DAY 2 ] [ DAY 1 ] D2.01 / Distilling Key Points D1.01 / Official Introduction 01 | Result of key points (clustered in ‘soft categories’): 01 | Welcoming Words D2.02 / Ryan Merkley, CEO of Creative D1.02 / The Movement Strategy Track Commons 01 | Principles [ DAY 3 ] 02 | Flow of activities (Explained) D3.01 / Theme Statements: Priorities D1.03 / The Complexity of a Movement and Implications 01 | Diversity of the Group 01 | Ritual dissent and appreciation 02 | Images of the Wikimedia 02 | Voting and comments Movement 03 | Results 03 | Hopes, Fears and Something Else D3.02 / Next Steps & Closing D1.04 / Analysis of Present Situation 01 | Movement Strategy: Building the Foundation D1.05 / Personalising the Present Situation 01 | ‘Wave’ trends analysis model D1.06 / Issues & Opportunities: Participant-led discussions 01 | Introduction to Open Space Technology 02 | Participant-led Discussions 2 Introduction This is a report for the Movement Strategy track at the Wikimedia Conference 2017. It is written in a narrative way, following the day-by-day flow of activities, to offer the reader an illustration of the process participants went through and the associated outcomes. The report was written by Luís Manuel Pinto, but several people made it possible by contributing with facilitation, creating infrastructure for documentation, clustering, analysing and transcribing inputs from participants, and photographing activities. People who have contributed directly to this report: Bhavesh Patel & Rob Lancaster (Facilitators) Suzie Nussel (Wikimedia Foundation) Ed Bland and Sara Johnson (Williamsworks) ş Eleonore Harmel, Hi ar Ersöz, Johanna Schlauß and Mathias Burke (studio amore) Jason Krüger and Beko (photography) Should you have any comments or questions concerning this report, please contact Luís by email: [email protected] Photo Credits Most photos by Jason Krüger for Wikimedia Deutschland e.V. -
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. -
Supporting Organizational Effectiveness Within Movements
While organizational effectiveness is a common concern with nonprofit organizations and networks, especially ones that are growing, the de-centralized culture of Wikimedia presented some unique challenges and opportunities. In a movement that so strongly valued the autonomy of indi- vidual organizations, what did it mean for the Foundation to Supporting Organizational attempt to increase their effectiveness – and how could it do this in a way that was not top-down? Furthermore, the Effectiveness Within Foundation was concerned that its financial support was fueling momentum toward larger-budget, “traditional” or Movements staffed nonprofit structures which might not be consistent with its history and mission as a global free-knowledge move- A Wikimedia Foundation Case Study ment created and driven largely by individual volunteers. Funders supporting movements face a unique set of chal- The Foundation was grappling with two fundamental lenges when trying to support organizations working questions: for the same cause. In their efforts to increase organi- zational effectiveness, foundations invariably face ques- How could the Wikimedia Foundation help Wikime- dia groups make a clearer connection between their tions of credibility and control, and sometimes encoun- strategies and their desired impacts without being di- ter diverging understandings of success. This case study 1 rective about those strategies and desired impacts? profiles how TCC Group – with its partner, the Wikimedia Foundation – developed an innovative, participatory ap- Anecdotally WMF knew that some chapters were proach to these challenges, resulting in increased orga- “more effective” than others, but without clear cri- nizational effectiveness in the Wikimedia movement. teria for success it was difficult to determine how or why some groups were thriving. -
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. -
Wikimedia Foundation 2010-11 Plan
Wikimedia Foundation The Year Ahead, and the Year in Review SUE GARDNER WIKIMANIA – WASHINGTON DC – 14 JULY 2012 Purpose of this presentation is two things: Tell you what the WMF did in 2011-12 Tell you what the WMF plans to do in 2012-13 3 34.8 million dollars 4 You wrote the projects. You earned the goodwill. Your work is what donors are supporting. 5 6 7 Recapping 2011-12 8 Recapping 2011-12 Activities Supported 25% increase in readership from 400 to 500 million UVs; Visual Editor – released with save/edit capability & new parser, in restricted namespace on Mediawiki.org; Global Ed work is being done in 12 countries, and in eight the work is driven by volunteers – 19 million characters added to Wikipedia, with 50% female editors; The mobile platform has been redeveloped, Android app released, mobile PVs up 187%. Wikipedia Zero launched with new deals with two companies covering 28 countries, and more underway; Editor recruitment activity is underway in India and Brazil; Wikimedia Labs is launched and exceeding participation targets; Internationalization team has made significant improvements, particularly for Indic languages. It has also created new translation tools; New editor engagement – MoodBar/Feedback Dashboard, AFTv5, New Pages Feed tool, plus many research projects and small experiments (e.g., warnings & welcoming study, lapsed editor e-mail experiment,Teahouse). Nonetheless, editors are down to 85 from 89K; Upload wizard increased image uploads 27% over the year, with WLM causing a visible spike in September 2011. 9 Strategy Plan 2015 Goals (for reference) 1) Increase readership. 2) Increase the quantity of material we offer. -
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. -
Wikimedia Movement Strategy Process
Wikimedia Movement Strategy Process Gereon Kalkuhl, Nicole Ebber Pre-Wikimania meeting Berlin, June 10, 2017 Stephan Kunz, CC Zero, Unsplash The most notable source of knowledge in the world Beko, CC BY-SA 4.0, Wikimedia Commons 10 thousands of volunteers Martin Kraft, CC BY-SA 4.0, Wikimedia Commons st Data is the oil of the 21 century Addshore, CC Zero, Wikimedia Commons Conserving the past: Wiki loves monuments Shreemilabaj, CC BY-SA 4.0, Wikimedia Commons Shaping copyright Sebastiaan Ter-Burg, CC BY 2.0, Wikimedia Commons Changing society Together with GLAMs Romaine, CC Zero, Wikimedia Commons We’ve come a long way. But where do we go from here? What do we want to build or achieve together over the next 15 years? Niccolò Caranti, CC BY-SA 4.0, Wikimedia Commons Wikimania 2016 in Esino Lario Katherine Maher new WMF ED Wikimedia Movement Strategy Niccolò Caranti, CC BY-SA 4.0, Wikimedia Commons Timeline Before Wikimania Develop Wikimedia’s global strategic direction; “Which mountain do we want to climb?” After Wikimania How can we fill this direction with life? (roles, responsibilities, resources, goals); “How do we climb this mountain?” Andrew Neel, CC Zero, Unsplash Goals for this process As a movement, identify a cohesive direction that aligns and inspires us all on our path to 2030. Build trust within our movement through participation in an open process based on shared power. Better understand the people and institutions that form our movement, those we are not yet reaching, and how their needs may change over the next 13 years. -
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. -
How to Contribute Climate Change Information to Wikipedia : a Guide
HOW TO CONTRIBUTE CLIMATE CHANGE INFORMATION TO WIKIPEDIA Emma Baker, Lisa McNamara, Beth Mackay, Katharine Vincent; ; © 2021, CDKN This work is licensed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/legalcode), which permits unrestricted use, distribution, and reproduction, provided the original work is properly credited. Cette œuvre est mise à disposition selon les termes de la licence Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/legalcode), qui permet l’utilisation, la distribution et la reproduction sans restriction, pourvu que le mérite de la création originale soit adéquatement reconnu. IDRC Grant/ Subvention du CRDI: 108754-001-CDKN knowledge accelerator for climate compatible development How to contribute climate change information to Wikipedia A guide for researchers, practitioners and communicators Contents About this guide .................................................................................................................................................... 5 1 Why Wikipedia is an important tool to communicate climate change information .................................................................................................................................. 7 1.1 Enhancing the quality of online climate change information ............................................. 8 1.2 Sharing your work more widely ......................................................................................................8 1.3 Why researchers should