10€€€€Wikipedia As a Role-Playing Game, Or Why Some Academics Do Not Like Wikipedia
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1 Wikipedia: an Effective Anarchy Dariusz Jemielniak, Ph.D
Wikipedia: An Effective Anarchy Dariusz Jemielniak, Ph.D. Kozminski University [email protected] Paper presented at the Society for Applied Anthropology conference in Baltimore, MD (USA), 27-31 March, 2012 (work in progress) This paper is the first report from a virtual ethnographic study (Hine, 2000; Kozinets, 2010) of Wikipedia community conducted 2006-2012, by the use of participative methods, and relying on an narrative analysis of Wikipedia organization (Czarniawska, 2000; Boje, 2001; Jemielniak & Kostera, 2010). It serves as a general introduction to Wikipedia community, and is also a basis for a discussion of a book in progress, which is going to address the topic. Contrarily to a common misconception, Wikipedia was not the first “wiki” in the world. “Wiki” (originated from Hawaiian word for “quick” or “fast”, and named after “Wiki Wiki Shuttle” on Honolulu International Airport) is a website technology based on a philosophy of tracking changes added by the users, with a simplified markup language (allowing easy additions of, e.g. bold, italics, or tables, without the need to learn full HTML syntax), and was originally created and made public in 1995 by Ward Cunningam, as WikiWikiWeb. WikiWikiWeb was an attractive choice among enterprises and was used for communication, collaborative ideas development, documentation, intranet, knowledge management, etc. It grew steadily in popularity, when Jimmy “Jimbo” Wales, then the CEO of Bomis Inc., started up his encyclopedic project in 2000: Nupedia. Nupedia was meant to be an online encyclopedia, with free content, and written by experts. In an attempt to meet the standards set by professional encyclopedias, the creators of Nupedia based it on a peer-review process, and not a wiki-type software. -
Community and Communication
Community and 12 Communication A large, diverse, and thriving group of volun- teers produces encyclopedia articles and administers Wikipedia. Over time, members of the Wikipedia community have developed conventions for interacting with each other, processes for managing content, and policies for minimizing disruptions and maximizing use- ful work. In this chapter, we’ll discuss where to find other contributors and how to ask for help with any topic. We’ll also explain ways in which community members interact with each other. Though most discussion occurs on talk pages, Wikipedia has some central community forums for debate about the site’s larger policies and more specific issues. We’ll also talk about the make-up of the community. First, however, we’ll outline aspects of Wikipedia’s shared culture, from key philosophies about how contributors How Wikipedia Works (C) 2008 by Phoebe Ayers, Charles Matthews, and Ben Yates should interact with each other to some long-running points of debate to some friendly practices that have arisen over time. Although explicit site policies cover content guidelines and social norms, informal philosophies and practices help keep the Wikipedia community of contributors together. Wikipedia’s Culture Wikipedia’s community has grown spontaneously and organically—a recipe for a baffling culture rich with in-jokes and insider references. But core tenets of the wiki way, like Assume Good Faith and Please Don’t Bite the Newcomers, have been with the community since the beginning. Assumptions on Arrival Wikipedians try to treat new editors well. Assume Good Faith (AGF) is a funda- mental philosophy, as well as an official guideline (shortcut WP:AGF) on Wikipedia. -
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. -
From Faculty Enemy to Faculty Enabler
Wikipedia @ 20 • ::Wikipedia @ 20 9 The First Twenty Years of Teaching with Wikipedia: From Faculty Enemy to Faculty Enabler Robert E. Cummings Published on: Oct 15, 2020 Updated on: Nov 16, 2020 License: Creative Commons Attribution 4.0 International License (CC-BY 4.0) Wikipedia @ 20 • ::Wikipedia @ 20 9 The First Twenty Years of Teaching with Wikipedia: From Faculty Enemy to Faculty Enabler Wikipedia jumbles the faculty roles of teaching, researching, and service by challenging traditional notions of faculty expertise, but a more integrated approach for these roles is also possible. I have never been able to see Wikipedia without the lens of a faculty member. On the one hand, I subconsciously carry with me perpetual concerns about accuracy and reliability. I am often trying to prove to myself that Wikipedia is legitimate work: it is, after all, the world’s largest encyclopedia. Writing to Wikipedia follows a set of complicated rules. So if it is a serious project with rules and enforcers and the world relies on its information, it ought to be universally accepted. And on the other hand? I want Wikipedia to be a lark. I also want Wikipedia to be a place where I wander freely and learn lots and lots of information. A guilty pleasure, not unlike pulling a book off a library shelf and simply reading it. I suspect that these anxieties I experience might speak to inherent conflict in being a faculty member while engaging Wikipedia. Reading Wikipedia, contributing to Wikipedia, and certainly teaching with Wikipedia jumble and reconfigure the faculty identities of teacher and researcher because they recontextualize our relationships with expertise itself. -
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. -
Classifying Wikipedia Article Quality with Revision History Networks
Classifying Wikipedia Article Quality With Revision History Networks Narun Raman∗ Nathaniel Sauerberg∗ Carleton College Carleton College [email protected] [email protected] Jonah Fisher Sneha Narayan Carleton College Carleton College [email protected] [email protected] ABSTRACT long been interested in maintaining and investigating the quality We present a novel model for classifying the quality of Wikipedia of its content [4][6][12]. articles based on structural properties of a network representation Editors and WikiProjects typically rely on assessments of article of the article’s revision history. We create revision history networks quality to focus volunteer attention on improving lower quality (an adaptation of Keegan et. al’s article trajectory networks [7]), articles. This has led to multiple efforts to create classifiers that can where nodes correspond to individual editors of an article, and edges predict the quality of a given article [3][4][18]. These classifiers can join the authors of consecutive revisions. Using descriptive statistics assist in providing assessments of article quality at scale, and help generated from these networks, along with general properties like further our understanding of the features that distinguish high and the number of edits and article size, we predict which of six quality low quality Wikipedia articles. classes (Start, Stub, C-Class, B-Class, Good, Featured) articles belong While many Wikipedia article quality classifiers have focused to, attaining a classification accuracy of 49.35% on a stratified sample on assessing quality based on the content of the latest version of of articles. These results suggest that structures of collaboration an article [1, 4, 18], prior work has suggested that high quality arti- underlying the creation of articles, and not just the content of the cles are associated with more intense collaboration among editors article, should be considered for accurate quality classification. -
Jimmy Wales and Larry Sanger, It Is the Largest, Fastest-Growing and Most Popular General Reference Work Currently Available on the Internet
Tomasz „Polimerek” Ganicz Wikimedia Polska WikipediaWikipedia andand otherother WikimediaWikimedia projectsprojects WhatWhat isis Wikipedia?Wikipedia? „Imagine„Imagine aa worldworld inin whichwhich everyevery singlesingle humanhuman beingbeing cancan freelyfreely shareshare inin thethe sumsum ofof allall knowledge.knowledge. That'sThat's ourour commitment.”commitment.” JimmyJimmy „Jimbo”„Jimbo” Wales Wales –– founder founder ofof WikipediaWikipedia As defined by itself: Wikipedia is a free multilingual, open content encyclopedia project operated by the non-profit Wikimedia Foundation. Its name is a blend of the words wiki (a technology for creating collaborative websites) and encyclopedia. Launched in January 2001 by Jimmy Wales and Larry Sanger, it is the largest, fastest-growing and most popular general reference work currently available on the Internet. OpenOpen and and free free content content RichardRichard StallmanStallman definition definition of of free free software: software: „The„The wordword "free""free" inin ourour namename doesdoes notnot referrefer toto price;price; itit refersrefers toto freedom.freedom. First,First, thethe freedomfreedom toto copycopy aa programprogram andand redistributeredistribute itit toto youryour neighbors,neighbors, soso thatthat theythey cancan useuse itit asas wellwell asas you.you. Second,Second, thethe freedomfreedom toto changechange aa program,program, soso ththatat youyou cancan controlcontrol itit insteadinstead ofof itit controllingcontrolling you;you; forfor this,this, thethe sourcesource -
Bridging the Gap Between Wikipedia and Academia
Bridging the Gap Between Wikipedia and Academia Dariusz Jemielniak New Research on Digital Societies (NeRDS) group, Kozminski University, Jagiellonska 59, 03-301 Warszawa, Poland. E-mail: [email protected] Eduard Aibar Research Group on Open Science & Innovation, Universitat Oberta de Catalunya, Av. Tibidabo, 39-43, 08035 Barcelona, Spain. E-mail: [email protected] In this opinion piece, we would like to present a short liter- isms, and a community whose enthusiasm will inevitably ature review of perceptions and reservations towards wane: Since 2005 Eric Goldman, a professor of law at Santa Wikipedia in academia, address the common questions Clara University, keeps predicting that “Wikipedia Will Fail about overall reliability of Wikipedia entries, review the actual practices of Wikipedia usage in academia, and con- Within 5 Years” (Goldman, 2005), changing only the clude with possible scenarios for a peaceful coexistence. expected demise date (Anderson, 2009). Because Wikipedia is a regular topic of JASIST publica- Even people sympathetic to open collaboration models, tions (Lim, 2009; Meseguer-Artola, Aibar, Llados, consider Wikipedia to rely mainly on the wisdom of crowds, Minguillon, & Lerga, 2015; Mesgari, Okoli, Mehdi, Nielsen, & Lanamaki,€ 2015; Okoli, Mehdi, Mesgari, Nielsen, & not necessarily on actual expertise (Surowiecki, 2004). It is Lanamaki,€ 2014), we hope to start a useful discussion with called a “flawed knowledge community” (Roberts & Peters, the right audience. 2011, p. 36), a broken surrogate. And the common view -
Cultural Bias in Wikipedia Content on Famous Persons
ASI21577.tex 14/6/2011 16: 39 Page 1 Cultural Bias in Wikipedia Content on Famous Persons Ewa S. Callahan Department of Film, Video, and Interactive Media, School of Communications, Quinnipiac University, 275 Mt. Carmel Avenue, Hamden, CT 06518-1908. E-mail: [email protected] Susan C. Herring School of Library and Information Science, Indiana University, Bloomington, 1320 E. 10th St., Bloomington, IN 47405-3907. E-mail: [email protected] Wikipedia advocates a strict “neutral point of view” This issue comes to the fore when one considers (NPOV) policy. However, although originally a U.S-based, that Wikipedia, although originally a U.S-based, English- English-language phenomenon, the online, user-created language phenomenon, now has versions—or “editions,” as encyclopedia now has versions in many languages. This study examines the extent to which content and perspec- they are called on Wikipedia—in many languages, with con- tives vary across cultures by comparing articles about tent and perspectives that can be expected to vary across famous persons in the Polish and English editions of cultures. With regard to coverage of persons in different Wikipedia.The results of quantitative and qualitative con- language versions, Kolbitsch and Maurer (2006) claim that tent analyses reveal systematic differences related to Wikipedia “emphasises ‘local heroes”’ and thus “distorts the different cultures, histories, and values of Poland and the United States; at the same time, a U.S./English- reality and creates an imbalance” (p. 196). However, their language advantage is evident throughout. In conclusion, evidence is anecdotal; empirical research is needed to inves- the implications of these findings for the quality and tigate the question of whether—and if so, to what extent—the objectivity of Wikipedia as a global repository of knowl- cultural biases of a country are reflected in the content of edge are discussed, and recommendations are advanced Wikipedia entries written in the language of that country. -
Controlled Analyses of Social Biases in Wikipedia Bios
Controlled Analyses of Social Biases in Wikipedia Bios Anjalie Field Chan Young Park Yulia Tsvetkov [email protected] [email protected] [email protected] Carnegie Mellon University Carnegie Mellon University Carnegie Mellon University ABSTRACT as explanatory variables in a regression model, which restricts anal- Social biases on Wikipedia, a widely-read global platform, could ysis to regression models and requires explicitly enumerating all greatly influence public opinion. While prior research has examined confounds [52]. man/woman gender bias in biography articles, possible influences In contrast, we develop a matching algorithm that enables ana- of confounding variables limit conclusions. In this work, we present lyzing different demographic groups while reducing the influence a methodology for reducing the effects of confounding variables in of confounding variables. Given a corpus of Wikipedia biography analyses of Wikipedia biography pages. Given a target corpus for pages for people that contain target attributes (e.g. pages for cis- analysis (e.g. biography pages about women), we present a method gender women), our algorithm builds a matched comparison corpus for constructing a comparison corpus that matches the target cor- of biography pages for people that do not (e.g. for cisgender men). pus in as many attributes as possible, except the target attribute The comparison corpus is constructed so that it closely matches the (e.g. the gender of the subject). We evaluate our methodology by de- target corpus on all known attributes except the targeted one. Thus, veloping metrics to measure how well the comparison corpus aligns examining differences between the two corpora can reveal content with the target corpus. -
A Complete, Longitudinal and Multi-Language Dataset of the Wikipedia Link Networks
WikiLinkGraphs: A Complete, Longitudinal and Multi-Language Dataset of the Wikipedia Link Networks Cristian Consonni David Laniado Alberto Montresor DISI, University of Trento Eurecat, Centre Tecnologic` de Catalunya DISI, University of Trento [email protected] [email protected] [email protected] Abstract and result in a huge conceptual network. According to Wiki- pedia policies2 (Wikipedia contributors 2018e), when a con- Wikipedia articles contain multiple links connecting a sub- cept is relevant within an article, the article should include a ject to other pages of the encyclopedia. In Wikipedia par- link to the page corresponding to such concept (Borra et al. lance, these links are called internal links or wikilinks. We present a complete dataset of the network of internal Wiki- 2015). Therefore, the network between articles may be seen pedia links for the 9 largest language editions. The dataset as a giant mind map, emerging from the links established by contains yearly snapshots of the network and spans 17 years, the community. Such graph is not static but is continuously from the creation of Wikipedia in 2001 to March 1st, 2018. growing and evolving, reflecting the endless collaborative While previous work has mostly focused on the complete hy- process behind it. perlink graph which includes also links automatically gener- The English Wikipedia includes over 163 million con- ated by templates, we parsed each revision of each article to nections between its articles. This huge graph has been track links appearing in the main text. In this way we obtained exploited for many purposes, from natural language pro- a cleaner network, discarding more than half of the links and cessing (Yeh et al. -
Project Talk: Coordination Work and Group Membership in Wikiprojects
Project talk: Coordination work and group membership in WikiProjects Jonathan T. Morgan*, Michael Gilbert*, David W. McDonald**, Mark Zachry* *Human Centered Design & Engineering **The Information School University of Washington Seattle, WA USA {jmo25, mdg, dwmc, zachry} @uw.edu ABSTRACT Groups emerge in online collaborations as individuals organize their WikiProjects have contributed to Wikipedia’s success in important productive activities around shared goals, interests, tasks and work- ways, yet the range of work that WikiProjects perform and the way spaces. These groups can provide important benefits for their mem- they coordinate that work remains largely unexplored. In this study, bers and perform valuable work for the community they belong to. we perform a content analysis of 788 work-related discussions from Lave & Wenger [16] assert that the most effective way to under- the talk pages of 138 WikiProjects in order to understand the role stand working groups like these is to examine the work activities WikiProjects play in collaborative work on Wikipedia. We find that their members engage in. But, as the scenario above illustrates, the editors use WikiProjects to coordinate a wide variety of work identifying the members of an online group and the work the group activities beyond content production and that non-members play an performs can be difficult for an outsider—whether they are a new active role in that work. Our research suggests that WikiProject user, a researcher or a system designer. collaboration is less structured and more open than that of many virtual teams and that WikiProjects may function more like FLOSS Research on the behavior of Wikipedia editors has informed our projects than traditional groups.