Wikipedia:Wikipedia in academic studies

We present a content-driven reputation system for Wikipedia authors. In our system, authors gain reputation when the edits they perform to Wikipedia articles are preserved by subsequent authors, and they lose reputation when their edits are rolled back or undone in short order. Thus, author reputation is computed solely on the basis of content evolution; user-to-user comments or ratings are not used. The author reputation we compute could be used to flag new contributions from low-reputation authors, or it could be used to allow only authors with high reputation to contribute to controversial or critical pages. A reputation system for the Wikipedia could also provide an incentive for high-quality contributions.
We have implemented the proposed system, and we have used it to analyze the entire Italian and French Wikipedias, consisting of a total of 691,551 pages and 5,587,523 revisions. Our results show that our notion of reputation has good predictive value: changes performed by low-reputation authors have a significantly larger than average probability of having poor quality, as judged by human observers, and of being later undone, as measured by our algorithms.

A Wiki website is a hypertext on steroids. Any user can create or edit any page on the site using a simple web browser, and all information processing is done on the server side. Wiki sites are powerful tools for collaboration in closed work groups, but can also be used for the general public on the open Internet. This paper summarizes the experience from the first nine months of operation of Sweden's biggest Wiki website susning.nu, including its usefulness in non-profit and commercial applications, in hobby and professional, projects, its social and legal aspects, its relation to geographic information systems, subject information gateways, the establishment of a controlled vocabulary, and its implications on learning, free speech, the price of information, licensing, and copyright. Relevant comparisons to similar projects in other countries are also presented.

Wikis are fully editable websites; any user can read or add content to a wiki site. This functionality means that wikis are an excellent tool for collaboration in an online environment. This paper presents wikis as a useful tool for facilitating online education. Basic wiki functionality is outlined and different wikis are reviewed to highlight the features that make them a valuable technology for teaching and learning online. Finally, the paper discuses a wiki project underway at Deakin University. This project uses a wiki to host an icebreaker exercise which aims to facilitate ongoing interaction between members of online learning groups. Wiki projects undertaken in America are outlined and future wiki research plans are also discussed. These wiki projects illustrate how e-learning practitioners can and are moving beyond their comfort zone by using wikis to enhance the process of teaching and learning online.

Wikipedia (www.wikipedia.org) is an online encyclopedia, available in more than 100 languages and comprising over 1 million articles in its English version. If we consider each Wikipedia article as a node and each hyperlink between articles as an arc we have a “Wikigraph”, a graph that represents the link structure of Wikipedia. The Wikigraph differs from other Web graphs studied in the literature by the fact that there are timestamps associated with each node. The timestamps indicate the creation and update dates of each page, and this allows us to do a detailed analysis of the Wikipedia evolution over time. In the first part of this study we characterize this evolution in terms of users, editions and articles; in the second part, we depict the temporal evolution of several topological properties of the Wikigraph. The insights obtained from the Wikigraphs can be applied to large Web graphs from which the temporal data is usually not available.

Traditional activities change in surprising ways when computermediated communication becomes a component of the activity system. In this descriptive study, we leverage two perspectives on social activity to understand the experiences of individuals who became active collaborators in Wikipedia, a prolific, cooperatively-authored online encyclopedia. Legitimate peripheral participation provides a lens for understanding participation in a community as an adaptable process that evolves over time. We use ideas from activity theory as a framework to describe our results. Finally, we describe how activity on the Wikipedia stands in striking contrast to traditional publishing and suggests a new paradigm for collaborative systems.

Here we present experimental data and a model in order to describe the evolution of a socio-technological system. The case of study presented is that of the online free encyclopedia Wikipedia, for which we have the complete series of pages addition during time. The varioius entries and the hyperlinks between them can be described as a graph. We find scale-invariant behaviour in the distribution of the degree and a topology similar to that of the World Wide Web. By using the information on dynamics we are able to model and reproduce the features of this system. We also find that regardless the fact that any user has the possibility of global reshape, still Wikipedia has a growth described by local rules as that of the preferential attachment.

Member-maintained communities ask their users to perform tasks the community needs. From Slashdot, to IMDb, to Wikipedia, groups with diverse interests create community-maintained artifacts of lasting value (CALV) that support the group's main purpose and provide value to others. Said communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate more.We present SuggestBot, software that performs intelligent task routing (matching people with tasks) in Wikipedia. SuggestBot uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks. SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.

One important innovation in information and communication technology developed over the past decade was organizational rather than merely technological. Open source production is remarkable because it converts a private commodity (typically software) into a public good. A number of studies examine the factors motivating contributions to open source production goods, but we argue it is important to understand the causes of high quality contributions to such goods. In this paper, we analyze quality in the open source online encyclopedia Wikipedia. We find that, for users who create an online persona through a registered user name, the quality of contributions increases as the number of contributions increase, consistent with the idea of experts motivated by reputation and committed to the Wikipedia community. Unexpectedly, however, we find the highest quality contributions come from the vast numbers of anonymous “Good Samaritans” who contribute infrequently. Our findings that Good Samaritans as well as committed “Zealots” contribute high quality content to Wikipedia suggest that open source production is remarkable as much for its organizational as its technological innovation that enables vast numbers of anonymous one-time contributors to create high quality, essentially public goods.

This paper presents the results of a genre analysis of two web-based collaborative authoring environments, Wikipedia and Everything2, both of which are intended as repositories of encyclopedic knowledge and are open to contributions from the public. Using corpus linguistic methods and factor analysis of word counts for features of formality and informality, we show that the greater the degree of post-production editorial control afforded by the system, the more formal and standardized the language of the collaboratively-authored documents becomes, analogous to that found in traditional print encyclopedias. Paradoxically, users who faithfully appropriate such systems create homogeneous entries, at odds with the goal of open-access authoring environments to create diverse content. The findings shed light on how users, acting through mechanisms provided by the system, can shape (or not) features of content in particular ways. We conclude by identifying sub-genres of webbased collaborative authoring environments based on their technical affordances.

Wikipedia represents an intriguing new publishing paradigm—can it be used to engage students in authentic collaborative writing activities? How can we design wiki publishing tools and curricula to support learning among student authors? We suggest that wiki publishing environments can create learning opportunities that address four dimensions of authenticity: personal, real world, disciplinary, and assessment. We have begun a series of design studies to investigate links between wiki publishing experiences and writing-to-learn. The results of an initial study in an undergraduate government course indicate that perceived audience plays an important role in helping students monitor the quality of writing; however, students’ perception of audience on the Internet is not straightforward. This preliminary iteration resulted in several guidelines that are shaping efforts to design and implement new wiki publishing tools and curricula for students and teachers.

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When humans approach the task of text categorization, they interpret the specific wording of the document in the much larger context of their background knowledge and experience. On the other hand, state-of-the-art information retrieval systems are quite brittle—they traditionally represent documents as bags of words, and are restricted to learning from individual word occurrences in the (necessarily limited) training set. For instance, given the sentence “Wal-Mart supply chain goes real time”, how can a text categorization system know that Wal-Mart manages its stock with RFID technology? And having read that “Ciprofloxacin belongs to the quinolones group”, how on earth can a machine know that the drug mentioned is an antibiotic produced by Bayer? In this paper we present algorithms that can do just that. We propose to enrich document representation through automatic use of a vast compendium of human knowledge—an encyclopedia. We apply machine learning techniques to Wikipedia, the largest encyclopedia to date, which surpasses in scope many conventional encyclopedias and provides a cornucopia of world knowledge. EachWikipedia article represents a concept, and documents to be categorized are represented in the rich feature space of words and relevant Wikipedia concepts. Empirical results confirm that this knowledge-intensive representation brings text categorization to a qualitatively new level of performance across a diverse collection of datasets.

The program Synarcher for synonym (and related terms) search in the text corpus of special structure (Wikipedia) was developed. The results of the search are presented in the form of graph. It is possible to explore the graph and search for graph elements interactively. Adapted HITS algorithm for synonym search, program architecture, and program work evaluation with test examples are presented in the paper. The proposed algorithm can be applied to a query expansion by synonyms (in a search engine) and a synonym dictionary forming.

Wikipedia is an Internet-based, user contributed encyclopedia that is collaboratively edited, and utilizes the wiki concept – the idea that any user on the Internet can change any page within the Web site, even anonymously. Paradoxically, this seemingly chaotic process has created a highly regarded reference on the Internet. Wikipedia has emerged as the largest example of participatory journalism to date – facilitating many-to-many communication among users editing articles, all working towards maintaining a neutral point of view — Wikipedia’s mantra. This study examines the growth of Wikipedia and analyzes the crucial technologies and community policies that have enabled the project to prosper. It also analyzes Wikipedia’s articles that have been cited in the news media, and establishes a set of metrics based on established encyclopedia taxonomies and analyzes the trends in Wikipedia being used as a source.

Wikipedia is a non-profit online project that aims at building an encyclopedia for everyone. It has attracted thousands of users to contribute and collaborate on a voluntary base. In this paper I argue that Wikipedia poses a new model of collaboration founded on three assumptions trust, openness and reduced barrier of participation as opposed to more conventional models of collaboration based on authority and hierarchy. With this new-found social structure in mind, the cultural implications of the Wikipedia will be discussed in relation to the notion of Commons-Based Peer Production (CBPP) as proposed by Benkler in 2002, concluded with an analysis of the challenges that are facing the Wikipedia project, the problem of credibility building and vandalism control.

Structuring information into knowledge is an important challenge for the 21st century. The emergence of internet and the diffusion of collaborative practices provide new tools with which to build and share knowledge. Scientists are seeking efficient ways to get recognition and to diffuse their work while Wikipedia is seeking well grounded contributors to shape in-depth articles. Science publishing and Wikipedia are thus profoundly modifying access to knowledge and may provide suitable conditions for a reorganization of the academic landscape.

O artigo tem o objetivo de analisar e discutir as características da escrita coletiva, segundo o conceito de hipertexto cooperativo. A partir disso, discute-se como os blogs e a wikipédia (uma enciclopédia digital construída online) viabilizam a concretização de uma uma "web viva", ou seja, redigida e interligada pelos próprios internautas.

Wikipedia can be considered as an extreme form of a self-managing team, as a means of labour division. One could expect that this bottom-up approach, with the absense of top-down organisational control, would lead to a chaos, but our analysis shows that this is not the case. In the Dutch Wikipedia, an integrated and coherent data structure is created, while at the same time users succeed in distributing roles by self-selection. Some users focus on an area of expertise, while others edit over the whole encyclopedic range. This constitutes our conclusion that Wikipedia, in general, is a successful example of a self-managing team.

The importance of Wikipedia for the documentation and promotion of museum holdings is gaining acceptance, and the number of references to articles is growing. However, the museum world still pays little attention to the Wikipedia project as a collaborative community with intentions, structures, and special features. Although these observations are based on museums in Germany and focus on the German Wikipedia, they are just as important and applicable to other museums and other editions of Wikipedia. Universities and libraries have already taken advantage of the Wikipedia and have established functional links.

In that the mission of museums is closely related to that of universities and libraries, the value of Wikipedia for museum professionals is worthy of consideration. This paper provides the complete study to serve as reference for the selected topics to be discussed in the professional forum.

Keywords: Wikipedia, documentation, collaborative, community, scholars, interconnections

The Internet has fostered an unconventional and powerful style of collaboration: “wiki” web sites, where every visitor has the power to become an editor. In this paper we investigate the dynamics of Wikipedia, a prominent, thriving wiki. We make three contributions. First, we introduce a new exploratory data analysis tool, the history flow visualization, which is effective in revealing patterns within the wiki context and which we believe will be useful in other collaborative situations as well. Second, we discuss several collaboration patterns highlighted by this visualization tool and corroborate them with statistical analysis. Third, we discuss the implications of these patterns for the design and governance of online collaborative social spaces. We focus on the relevance of authorship, the value of community surveillance in ameliorating antisocial behavior, and how authors with competing perspectives negotiate their differences.

Wikipedia, the online encyclopedia, has attracted attention both because of its popularity and its unconventional policy of letting anyone on the internet edit its articles. This paper describes the results of an empirical analysis of Wikipedia and discusses ways in which the Wikipedia community has evolved as it hasgrown. We contrast our findings with an earlier study [11] and present three main results. First, the community maintains a strong resilience to malicious editing, despite tremendous growth and high traffic. Second, the fastest growing areas of Wikipedia are devoted to coordination and organization. Finally, we focus on a particular set of pages used to coordinate work, the “Talk” pages. By manually coding the content of a subset of these pages, we find that these pages serve many purposes, notably supporting strategic planning of edits and enforcement of standard guidelines and conventions. Our results suggest that despite the potential for anarchy, the Wikipedia community places a strong emphasis on group coordination, policy, and process.

Wikipedia is the biggest collaboratively created source of encyclopaedic knowledge. Growing beyond the borders of any traditional encyclopaedia, it is facing new problems of knowledge management: The current excessive usage of article lists and categories witnesses the fact that 19th century content organization technologies like inter-article references and indices are no longer su#cient for today's needs. Rather, it is necessary to allow knowledge processing in a computer assisted way, for example to intelligently query the knowledge base. To this end, we propose the introduction of typed links as an extremely simple and unintrusive way for rendering large parts of Wikipedia machine readable. We provide a detailed plan on how to achieve this goal in a way that hardly impacts usability and performance, propose an implementation plan, and discuss possible difficulties on Wikipedia's way to the semantic future of the World Wide Web. The possible gains of thisendeavor are huge; we sketch them by considering some immediate applications that semantic technologies can provide to enhance browsing, searching, and editing Wikipedia.

Wikipedia is the world's largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural knowledge, e.,g. about how concepts are interrelated, can neither be formally stated nor automatically processed. Also the wealth of numerical data is only available as plain text and thus can not be processed by its actual meaning.We provide an extension to be integrated in Wikipedia, that allows the typing of links between articles and the specification of typed data inside the articles in an easy-to-use manner.Enabling even casual users to participate in the creation of an open semantic knowledge base, Wikipedia has the chance to become a resource of semantic statements, hitherto unknown regarding size, scope, openness, and internationalisation. These semantic enhancements bring to Wikipedia benefits of today's semantic technologies: more specific ways of searching and browsing. Also, the RDF export, that gives direct access to the formalised knowledge, opens Wikipedia up to a wide range of external applications, that will be able to use it as a background knowledge base.In this paper, we present the design, implementation, and possible uses of this extension.

Wikipedia, an international project that uses Wiki software to collaboratively create an encyclopaedia, is becoming more and more popular. Everyone can directly edit articles and every edit is recorded. The version history of all articles is freely available and allows a multitude of examinations. This paper gives an overview on Wikipedia research. Wikipedia’s fundamental components, i.e. articles, authors, edits, and links, as well as content and quality are analysed. Possibilities of research are explored including examples and first results. Several characteristics that are found in Wikipedia, such as exponential growth and scale-free networks are already known in other context. However the Wiki architecture also possesses some intrinsic specialities. General trends are measured that are typical for all Wikipedias but vary between languages in detail.

Wikipedia is a well known free content, multilingual encyclopedia written collaboratively by contributors around the world. Anybody can edit an article using a wiki markup language that offers a simplified alternative to HTML. This encyclopedia is composed of millions of articles in different languages.

Network analysis is concerned with properties related to connectivity and distances in graphs, with diverse applications like citation indexing and information retrieval on the Web. HITS (Hyperlink-Induced Topic Search) is an network analysis algorithm that has been successfully used for ranking web pages related to a common topic according to their potential relevance. HITS is based on the notions of hub and authority: a good hub is a page that points to several good authorities; a good authority is a page that is pointed at by several good hubs. HITS exclusively relies on the hyperlink relations existing among the pages, to define the two mutually reinforcing measures of hub and authority. It can be proved that for each page these two weights converge to fixed points, the actual hub and authority values for the page. Authority is used to rank pages resulting from a given query (and thus potentially related to a given topic) in order of relevance. The hyperlinked structure of Wikipedia and the ongoing, incremental editing process behind it make it an interesting and unexplored target domain for network analysis techniques. In particular, we explored the relevance of the notion of HITS's authority on this encyclopedic corpus. We've developed a crawler that extensively scans through the structure of English language Wikipedia articles, and that keeps track for each entry of all other Wikipedia articles pointed at in its de¯nition. The result is a directed graph (roughly 500000 nodes, and more than 8 millions links), which consists for the most part of a big loosely connected component. Then we applied the HITS algorithm to the latter, thus getting a hub and authority weight associated to every entry. First results seem to be meaningful in characterizing the notion of authority in this peculiar domain. Highest-rank authorities seem to be for the most part lexical elements that denote particular and concrete rather than universal and abstract entities. More precisely, at the very top of the authority scale there are concepts used to structure space and time like country names, city names and other geopolitical entities (such as United States and many European countries), historical periods and landmark events (World War II, 1960s). "Television", "scientifc classification" and "animal" are the first three most authoritative common nouns. We will also present the first results issued from the application of well-known PageRank algorithm (Google's popular ranking metrics detailed in [2]) to the Wikipedia entries collected by our crawler.

The anarchist Peter Kropotkin once wrote that “Mutual aid is as much a law of animal life as mutual struggle” (1902). At the time, he was responding to arguments arising from Darwin's The Origin of Species: that in nature and society individual creatures ceaselessly struggle against each other for dominance. Kropotkin took pains to explain and provide examples of how animals and humans survive by cooperating with each other. Interestingly, Kropotkin also contributed the article on anarchism to the 1911 Encyclopædia Britannica, a collaborative product of the Scottish Enlightenment and a precursor to the Wikipedia, a collaborative, on-line, and free encyclopedia. This paper explores the character of “mutual aid” and interdependent decision making within the Wikipedia. I provide a brief introduction to Wikipedia, the key terms associated with group decision making, and the Wikipedia dispute resolution process. I then focus on the cultural norms (e.g., “good faith”) within Wikipedia that frame participation as a cooperative endeavor. In particular, I argue that the “neutral point of view policy” policy is not a source of conflict, as it is often perceived to be, but a resolution shaping norm. However, the naive understanding that this policy is about an unbiased neutrality is also problematic. I conclude by identifying some notions from negotiation literature that may be inappropriate or require adaptation to the Wikipedia case.

As collaborative repositories grow in popularity and use, issues concerning the quality and trustworthiness of information grow. Some current popular repositories contain contributions from a wide variety of users, many of which will be unknown to a potential end user. Additionally the content may change rapidly and information that was previously contributed by a known user may be updated by an unknown user. End users are now faced with more challenges as they evaluate how much they may want to rely on information that was generated and updated in this manner. A trust management layer has become an important requirement for the continued growth and acceptance of collaboratively developed and maintained information resources. In this paper, we will describe our initial investigations into designing and implementing an extensible trust management layer for collaborative and/or aggregated repositories of information. We leverage our work on the Inference Web explanation infrastructure and exploit and expand the Proof Markup Language to handle a simple notion of trust. Our work is designed to support representation, computation, and visualization of trust information. We have grounded our work in the setting of Wikipedia. In this paper, we present our vision, expose motivations, relate work to date on trust representation, and present a trust computation algorithm with experimental results. We also discuss some issues encountered in our work that we found interesting.

This study examines the degree to which Wikipedia entries cite or reference research and scholarship, and whether that research and scholarship is generally available to readers. Working on the assumption that where Wikipedia provides links to research and scholarship that readers can readily consult, it increases the authority, reliability, and educational quality of this popular encyclopedia, this study examines Wikipedia’s use of open access research and scholarship, that is, peer-reviewed journal articles that have been made freely available online. This study demonstrates among a sample of 100 Wikipedia entries, which included 168 sources or references, only two percent of the entries provided links to open access research and scholarship. However, it proved possible to locate, using Google Scholar and other search engines, relevant examples of open access work for 60 percent of a sub-set of 20 Wikipedia entries. The results suggest that much more can be done to enrich and enhance this encyclopedia’s representation of the current state of knowledge. To assist in this process, the study provides a guide to help Wikipedia contributors locate and utilize open access research and scholarship in creating and editing encyclopedia entries.

On-line forums for the collaborative creation of bodies of information are a phenomenon of rising importance; the Wikipedia is one of the best-known examples. The open nature of such forums could benefit from a notion of reputation for its authors. Author reputation could be used to flag new contributions from low-reputation authors, and it could be used to allow only authors with good reputation to contribute to controversial or critical pages. A reputation system for the Wikipedia would also provide an incentive to give high-quality contributions. We present in this paper a novel type of content-driven reputation system for Wikipedia authors. In our system, authors gain reputation when the edits and text additions they perform to Wikipedia articles are long-lived, and they lose reputation when their changes are undone in short order. We have implemented the proposed system, and we have used it to analyze the entire Italian and French Wikipedias, consisting of a total of 691,551 pages and 5,587,523 revisions. Our results show that our notion of reputation has good predictive value: changes performed by low-reputation authors have a significantly larger than average probability of having poor quality, and of being undone.

Wikipedia is a 21st Century phenomena which is forcing many to reconsider what is and what is not valid and authoritative online. Wikipedia is an online encyclopedia that anyone can edit. This creates many opportunities to expand knowledge but it also opens the project up to vandalism and abuse. Many writers have commented on this and determined that Wikipedia has a good defense against problematic behavior even if these same writers are unsure of the legitimacy of Wikipedia as a whole. Other writers have noted the need for identified authors for legitimacy to be attainable. This ethnographic study looks at a public system that Wikipedia uses to identify and correct problem behaviors from contributors. It concludes that Wikipedia does have a good system in place that can protect the integrity of articles in many instances. However, this study was limited in scope and was unable to determine if the system in place for abuse reporting is truly able to vouch for the status of Wikipedia as an authoritative resource.

We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with those of the World Wide Web, despite the very different growth mechanism. In particular, we measure a scale-invariant distribution of the in and out degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users, who are responsible of its evolution, can act globally on the network.

Wikipedia is an free, online encyclopaedia; anyone can add content or edit existing content. The idea behind Wikipedia is that members of the general public can add their own personal knowledge, anonymously if they wish. Wikipedia then evolves over time into a comprehensive knowledge base on all things. Its popularity has never been questioned, although some have speculated about its authority. By its own admission, Wikipedia contains errors. A number of people have tested Wikipedia’s accuracy using destructive methods, i.e. deliberately inserting errors. This has been criticised by Wikipedia. This short study examines Wikipedia’s credibility by asking 258 research staff with a response rate of 21 percent, to read an article and assess its credibility, the credibility of its author and the credibility of Wikipedia as a whole. Staff were either given an article in their own expert domain or a random article. No difference was found between the two group in terms of their perceived credibility of Wikipedia or of the articles’ authors, but a difference was found in the credibility of the articles — the experts found Wikipedia’s articles to be more credible than the non–experts. This suggests that the accuracy of Wikipedia is high. However, the results should not be seen as support for Wikipedia as a totally reliable resource as, according to the experts, 13 percent of the articles contain mistakes.

The purpose of this paper is to present an approach to evaluating contributions in collaborative authoring environments and in particular wikis using social network measures. A social network model for wikipedia has been constructed and metrics of importance such as centrality have been defined. Data have been gathered from articles belonging to the same topic using a web crawler in order to evaluate the outcome of the social network measures in the articles.This work tries to develop a network approach to the evaluation of wiki contributions and approaches the problem of quality of wikipedia content from a social network point of view. We believe that the approach presented here could be used to improve the authoritativeness of content found in Wikipedia and similar sources.

History is a deeply individualistic craft. The singly authored work is the standard for the profession; only about 6 percent of the more than 32,000 scholarly works indexed since 2000 in this journal’s comprehensive bibliographic guide, “Recent Scholarship,” have more than one author. Works with several authors—common in the sciences—are even harder to find. Fewer than 500 (less than 2 percent) have three or more authors. Historical scholarship is also characterized by possessive individualism. Good professional practice (and avoiding charges of plagiarism) requires us to attribute ideas and words to specific historians—we are taught to speak of “Richard Hofstadter’s status anxiety interpretation of Progressivism.”2 And if we use more than a limited number of words from Hofstadter, we need to send a check to his estate. To mingle Hofstadter’s prose with your own and publish it would violate both copyright and professional norms. A historical work without owners and with multiple, anonymous authors is thus almost unimaginable in our professional culture. Yet, quite remarkably, that describes the online encyclopedia known as Wikipedia, which contains 3 million articles (1 million of them in English). History is probably the category encompassing the largest number of articles. Wikipedia is entirely free. And that freedom includes not just the ability of anyone to read it (a freedom denied by the scholarly journals in, say, jstor, which requires an expensive institutional subscription) but also—more remarkably—their freedom to use it. You can take Wikipedia’s entry on Franklin D. Roosevelt and put it on your own Web site, you can hand out copies to your students, and you can publish it in a book—all with only one restriction: You may not impose any more restrictions on subsequent readers and users than have been imposed on you. And it has no authors in any conventional sense. Tens of thousands of people—who have not gotten even the glory of affixing their names to it—have written it collaboratively. The Roosevelt entry, for example, emerged over four years as five hundred authors made about one thousand edits. This extraordinary freedom and cooperation make Wikipedia the most important application of the principles of the free and open-source software movement to the world of cultural, rather than software, production

To date, one of the main aims of the World Wide Web has been to provide users with information. In addition to private homepages, large professional information providers, including news services, companies, and other organisations have set up web-sites. With the development and advance of recent technologies such as wikis, blogs, podcasting and file sharing this model is challenged and community-driven services are gaining influence rapidly. These new paradigms obliterate the clear distinction between information providers and consumers. The lines between producers and consumers are blurred even more by services such as Wikipedia, where every reader can become an author, instantly. This paper presents an overview of a broad selection of current technologies and services: blogs, wikis including Wikipedia and Wikinews, social networks such as Friendster and Orkut as well as related social services like del.icio.us, file sharing tools such as Flickr, and podcasting. These services enable user participation on the Web and manage to recruit a large number of users as authors of new content. It is argued that the transformations the Web is subject to are not driven by new technologies but by a fundamental mind shift that encourages individuals to take part in developing new structures and content. The evolving services and technologies encourage ordinary users to make their knowledge explicit and help a collective intelligence to develop. 

This paper gives a brief overview of current technologies in systems handling encyclopaedic knowledge. Since most of the electronic encyclopaedias currently available are rather static and inflexible, greatly enhanced functionality is introduced that enables users to work more effectively and collaboratively. Users have the ability, for instance, to add annotations to every kind of object and can have private and shared workspaces. The techniques described employ user profiles in order to adapt to different users and involve statistical analysis to improve search results. Moreover, a tracking and navigation mechanism based on trails is presented. The second part of the paper details community building around encyclopaedic knowledge with the aim to involve “plain” users and experts in environments with largely editorial content. The foundations for building a user community are specified along with significant facets such as retaining the high quality of content, rating mechanisms and social aspects. A system that implements large portions of the community-related concepts in a heterogeneous environment of several largely independent data sources is proposed. Apart from online and DVD-based encyclopaedias, potential application areas are e-Learning, corporate documentation and knowledge management systems.

This paper discusses the role of blogs, wikis, and online discussion boards in enabling rationalcritical debate. I will use the work of Jurgen Habermas to explain why wikis, blogs, and online bulletin boards are all potentially valuable tools for the creation and maintenance of a critical public sphere. Habermas’ story ends on a sad note; the public writing environments he argues were so essential to the formation of a critical public sphere failed as commercialism and mass media diminished the role of the community and private persons. Unfortunately, the Internet will likely suffer a similar fate if we do not take action to preserve its inherently democratic and decentralized architecture. Here, I describe the integral role that blogs, wikis, and discussion boards play in fostering public discussion and ways they can be incorporated into college composition courses.

A wiki is a technique for collaborative development of documents on the web. The Wikipedia is a comprehensive free online encyclopaedia based on this technique which has gained increasing popularity and quality. This paper's work explored the representation of Medical Informatics in the Wikipedia by a search of specific and less specific terms used in Medical Informatics and shows the potential uses of wikis and the Wikipedia for the specialty. Test entries into the Wikipedia showed that the practical use of the so-called WikiMedia software is convenient. Yet Medical Informatics is not represented sufficiently since a number of important topics is missing. The Medical Informatics communities should consider a more systematic use of these techniques for disseminating knowledge about the specialty for the public as well as for internal and educational purposes.

Appropriate software tools may improve communication and ease access to knowledge for research groups. A weblog is a website which contains periodic, chronologically ordered posts on a common webpage, whereas a wiki is hypertext-based collaborative software that enables documents to be authored collectively using a web browser. Although not primarily intended for use as an intranet-based collaborative knowledge warehouse, both blogs and wikis have the potential to offer all the features of complex and expensive IT solutions. These tools enable the team members to share knowledge simply and quickly-the collective knowledge base of the group can be efficiently managed and navigated.

This article of part 1 of a two part series on wikis. Part 1 focuses on wikipedia. The article is prepared by a library professional and provides a summary of the main features. A wiki is a piece of server software that allows users to freely create and edit web page content using any web browser. Wiki supports hyperlinks and has a simple text syntax for creating new pages and crosslinks between internal pages on the fly. This article is a useful summary of a development of interest to library and information management professionals.

Virtual communities constitute a building block of the information society. These organizations appear capable to guarantee unique outcomes in voluntary association since they cancel physical distance and ease the process of searching for like–minded individuals. In particular, open source communities, devoted to the collective production of public goods, show efficiency properties far superior to the traditional institutional solutions to the public goods issue (e.g. property rights enforcement and secrecy). This paper employs team and club good theory as well as transaction cost economics to analyse the Wikipedia online community, which is devoted to the creation of a free encyclopaedia. An interpretative framework explains the outstanding success of Wikipedia thanks to a novel solution to the problem of graffiti attacks — the submission of undesirable pieces of information. Indeed, Wiki technology reduces the transaction cost of erasing graffiti and therefore prevents attackers from posting unwanted contributions. The issue of the sporadic intervention of the highest authority in the system is examined, and the relatively more frequent local interaction between users is emphasized. The constellation of different motivations that participants may have is discussed, and the barriers–free recruitment process analysed. A few suggestions, meant to encourage long term sustainability of knowledge assemblages, such as Wikipedia, are provided. Open issues and possible directions for future research are also discussed.

The borderline between production and consumption of media content is not so clear as it used to be. For example on the Internet, many people put a lot of effort into producing personal homepages in the absence of personal compensation. They publish everything from holiday pictures to complete Web directories. Illegal exchange of media material is another important trend that has a negative impact on the media industry. In this paper, I consider open content as an important development track in the media landscape of tomorrow. I define open content as content possible for others to improve and redistribute and/or content that is produced without any consideration of immediate financial reward — often collectively within a virtual community. The open content phenomenon can to some extent be compared to the phenomenon of open source. Production within a virtual community is one possible source of open content. Another possible source is content in the public domain. This could be sound, pictures, movies or texts that have no copyright, in legal terms. Which are the driving forces for the cooperation between players that work with open content? This knowledge could be essential in order to understand the dynamics of business development, technical design and legal aspects in this field. In this paper I focus on these driving forces and the relationships between these players. I have studied three major open content projects. In my analysis, I have used Gordijn’s (2002) value modeling method "e3value", modified for open content value creation and value chains. Open content value chains look much the same as commercial value chains, but there are also some major differences. In a commercial value chain, the consumers’ needs trigger the entire chain of value creation. My studies indicate that an open content value chain is often triggered by what the creators and producers wish to make available as open content. Motivations in non-monetary forms play a crucial role in the creation of open content value chains and value. My study of these aspects is based on Feller and Fitzgerald’s (2002) three perspectives on motivations underlying participation in the creation of open source software.

The Open Source movement has established over the last decade a new collaborative approach, uniquely adapted to the Internet, to developing high-quality informational products. Initially, its exclusive application was the development of software (GNU/Linux and Apache are among the most prominent projects), but increasingly we can observe this collaborative approach being applied to areas beyond the coding of software. One such area is the collaborative gathering and analysis of information, a practice we term "Open Source Intelligence". In this article, we use three case studies - the nettime mailing list, the Wikipedia project and the NoLogo Web site - to show some the breadth of contexts and analyze the variety of socio-technical approaches that make up this emerging phenomenon.

(summary) In this article, Nora Miller examines wikis in the light of authorship theories. She examines authoring a text has meant over the course of history. Miller explains that wikis (and other forms of digital spaces) are redefining the notion of textual ownership through means of collaboration. She mentions copyright laws and the resultant belief that there exists "self-evident" rights for authors to control and own their texts. As Miller shows with her own contributions to an entry in Wikipedia, wikis disrupt these notions of authorial rights. Much of the discussion about wikis and theory is limited to collaboration; I was happy to find one discussing wikis through the lens of authorship theory.

This paper presents a novel analysis and visualization of English Wikipedia data. Our specific interest is the analysis of basic statistics, the identification of the semantic structure and age of the categories in this free online encyclopedia, and the content coverage of its highly productive authors. The paper starts with an introduction of Wikipedia and a review of related work. We then introduce a suite of measures and approaches to analyze and map the semantic structure of Wikipedia. The results show that co-occurrences of categories within individual articles have a power-law distribution, and when mapped reveal the nicely clustered semantic structure of Wikipedia. The results also reveal the content coverage of the article's authors, although the roles these authors play are as varied as the authors themselves. We conclude with a discussion of major results and planned future work.

This article explores the relationship between national culture and computer-mediated communication (CMC) in Wikipedia. The articles on the topic game from the French, German, Japanese, and Dutch Wikipedia websites were studied using content analysis methods. Correlations were investigated between patterns of contributions and the four dimensions of cultural influences proposed by Hofstede (Power Distance, Collectivism versus Individualism, Femininity versus Masculinity, and Uncertainty Avoidance). The analysis revealed cultural differences in the style of contributions across the cultures investigated, some of which are correlated with the dimensions identified by Hofstede. These findings suggest that cultural differences that are observed in the physical world also exist in the virtual world.

This study examines the degree to which Wikipedia entries cite or reference research and scholarship, and whether that research and scholarship is generally available to readers. Working on the assumption that where Wikipedia provides links to research and scholarship that readers can readily consult, it increases the authority, reliability, and educational quality of this popular encyclopedia, this study examines Wikipedia’s use of open access research and scholarship, that is, peer-reviewed journal articles that have been made freely available online. This study demonstrates among a sample of 100 Wikipedia entries, which included 168 sources or references, only two percent of the entries provided links to open access research and scholarship. However, it proved possible to locate, using Google Scholar and other search engines, relevant examples of open access work for 60 percent of a sub-set of 20 Wikipedia entries. The results suggest that much more can be done to enrich and enhance this encyclopedia’s representation of the current state of knowledge. To assist in this process, the study provides a guide to help Wikipedia contributors locate and utilize open access research and scholarship in creating and editing encyclopedia entries.