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ISW Tables of Contents: 0506070809101112131415-115-2

Proceedings of the 2012 International Symposium on Wikis and Open Collaboration

Fullname:Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Editors:Cliff Lampe
Location:Linz, Austria
Dates:2012-Aug-27 to 2012-Aug-29
Standard No:ISBN: 978-1-4503-1605-7; ACM DL: Table of Contents; hcibib: ISW12
Links:Symposium Website | Online Proceedings | Symposium Series Home Page
  1. Emergent
  2. Know thy editor
  3. Wikipedia articles gone wild
  4. Wiki-chanics
  5. Beyond Wikipedia
  6. Under the collaborative covers
  7. Language/culture
  8. Posters
  9. Demos
  10. Panel


Staying in the loop: structure and dynamics of Wikipedia's breaking news collaborations BIBAFull-Text 1
  Brian Keegan; Darren Gergle; Noshir Contractor
Despite the fact that Wikipedia articles about current events are more popular and attract more contributions than typical articles, canonical studies of Wikipedia have only analyzed articles about pre-existing information. We expect the co-authoring of articles about breaking news incidents to exhibit high-tempo coordination dynamics which are not found in articles about historical events and information. Using 1.03 million revisions made by 158,384 users to 3,233 English Wikipedia articles about disasters, catastrophes, and conflicts since 1990, we construct "article trajectories" of editor interactions as they coauthor an article. Examining a subset of this corpus, our analysis demonstrates that articles about current events exhibit structures and dynamics distinct from those observed among articles about non-breaking events. These findings have implications for how collective intelligence systems can be leveraged to process and make sense of complex information.
Psychological processes underlying Wikipedia representations of natural and manmade disasters BIBAFull-Text 2
  Michela Ferron; Paolo Massa
Collective memories are precious resources for the society, because they help strengthening emotional bonding between community members, maintaining groups cohesion, and directing future behavior. Studying how people form their collective memories of emotional upheavals is important in order to better understand people's reactions and the consequences on their psychological health. Previous research investigated the effects of single traumatizing events, but few of them tried to compare different types of traumatic events like natural and man-made disasters. In this paper, interpreting Wikipedia as a collective memory place, we compare articles about natural and human-made disasters employing automated natural language techniques, in order to highlight the different psychological processes underlying users' sensemaking activities.

Know thy editor

Drawing a data-driven portrait of Wikipedia editors BIBAFull-Text 3
  Robert West; Ingmar Weber; Carlos Castillo
While there has been a substantial amount of research into the editorial and organizational processes within Wikipedia, little is known about how Wikipedia editors (Wikipedians) relate to the online world in general. We attempt to shed light on this issue by using aggregated log data from Yahoo!'s browser toolbar in order to analyze Wikipedians' editing behavior in the context of their online lives beyond Wikipedia. We broadly characterize editors by investigating how their online behavior differs from that of other users; e.g., we find that Wikipedia editors search more, read more news, play more games, and, perhaps surprisingly, are more immersed in popular culture. Then we inspect how editors' general interests relate to the articles to which they contribute; e.g., we confirm the intuition that editors are more familiar with their active domains than average users. Finally, we analyze the data from a temporal perspective; e.g., we demonstrate that a user's interest in the edited topic peaks immediately before the edit. Our results are relevant as they illuminate novel aspects of what has become many Web users' prevalent source of information.
How long do Wikipedia editors keep active? BIBAFull-Text 4
  Dell Zhang; Karl Prior; Mark Levene
In this paper, we use the technique of survival analysis to investigate how long Wikipedia editors remain active in editing. Our results show that although the survival function of occasional editors roughly follows a lognormal distribution, the survival function of customary editors can be better described by a Weibull distribution (with the median lifetime of about 53 days). Furthermore, for customary editors, there are two critical phases (0-2 weeks and 8-20 weeks) when the hazard rate of becoming inactive increases. Finally, customary editors who are more active in editing are likely to keep active in editing for longer time.
Etiquette in Wikipedia: weening new editors into productive ones BIBAFull-Text 5
  Ryan Faulkner; Steven Walling; Maryana Pinchuk
Currently, the greatest challenge faced by the Wikipedia community involves reversing the decline of active editors on the site -- in other words, ensuring that the encyclopedia's contributors remain sufficiently numerous to fill the roles that keep it relevant. Due to the natural drop-off of old contributors, newcomers must constantly be socialized, trained and retained. However recent research has shown the Wikipedia community is failing to retain a large proportion of productive new contributors and implicates Wikipedia's semi-automated quality control mechanisms and their interactions with these newcomers as an exacerbating factor. This paper evaluates the effectiveness of minor changes to the normative warning messages sent to newcomers from one of the most prolific of these quality control tools (Huggle) in preserving their rate of contribution. The experimental results suggest that substantial gains in newcomer participation can be attained through inexpensive changes to the wording of the first normative message that new contributors receive.

Wikipedia articles gone wild

There is no deadline: time evolution of Wikipedia discussions BIBAFull-Text 6
  Andreas Kaltenbrunner; David Laniado
Wikipedia articles are by definition never finished: at any moment their content can be edited, or discussed in the associated talk pages. In this study we analyse the evolution of these discussions to unveil patterns of collective participation along the temporal dimension, and to shed light on the process of content creation on different topics. At a micro-scale, we investigate peaks in the discussion activity and we observe a non-trivial relationship with edit activity. At a larger scale, we introduce a measure to account for how fast discussions grow in complexity, and we find speeds that span three orders of magnitude for different articles. Our analysis should help the community in tasks such as early detection of controversies and assessment of discussion maturity.
Identifying controversial articles in Wikipedia: a comparative study BIBAFull-Text 7
  Hoda Sepehri Rad; Denilson Barbosa
Wikipedia articles are the result of the collaborative editing of a diverse group of anonymous volunteer editors, who are passionate and knowledgeable about specific topics. One can argue that this plurality of perspectives leads to broader coverage of the topic, thus benefitting the reader. On the other hand, differences among editors on polarizing topics can lead to controversial or questionable content, where facts and arguments are presented and discussed to support a particular point of view. Controversial articles are manually tagged by Wikipedia editors, and span many interesting and popular topics, such as religion, history, and politics, to name a few. Recent works have been proposed on automatically identifying controversy within unmarked articles. However, to date, no systematic comparison of these efforts has been made. This is in part because the various methods are evaluated using different criteria and on different sets of articles by different authors, making it hard for anyone to verify the efficacy and compare all alternatives. We provide a first attempt at bridging this gap. We compare five different methods for modelling and identifying controversy, and discuss some of the unique difficulties and opportunities inherent to the way Wikipedia is produced.
{{Citation needed}}: the dynamics of referencing in Wikipedia BIBAFull-Text 8
  Chih-Chun Chen; Camille Roth
The extent to which a Wikipedia article refers to external sources to substantiate its content can be seen as a measure of its externally invoked authority. We introduce a protocol for characterising the referencing process in the context of general article editing. With a sample of relatively mature articles, we show that referencing does not occur regularly through an article's lifetime but is associated with periods of more substantial editing, when the article has reached a certain level of maturity (in terms of the number of times it has been revised and its length). References also tend to be contributed by editors who have contributed more frequently and more substantially to an article, suggesting that a subset of more qualified or committed editors may exist for each article.
Emotions and dialogue in a peer-production community: the case of Wikipedia BIBAFull-Text 9
  David Laniado; Andreas Kaltenbrunner; Carlos Castillo; Mayo Fuster Morell
This paper presents a large-scale analysis of emotions in conversations among Wikipedia editors. Our focus is on the emotions expressed by editors in talk pages, measured by using the Affective Norms for English Words (ANEW).
   We find evidence that to a large extent women tend to participate in discussions with a more positive tone, and that administrators are more positive than non-administrators. Surprisingly, female non-administrators tend to behave like administrators in many aspects.
   We observe that replies are on average more positive than the comments they reply to, preventing many discussions from spiralling down into conflict. We also find evidence of emotional homophily: editors having similar emotional styles are more likely to interact with each other.
   Our findings offer novel insights into the emotional dimension of interactions in peer-production communities, and contribute to debates on issues such as the flattening of editor growth and the gender gap.


Natural language processing for MediaWiki: the semantic assistants approach BIBAFull-Text 10
  Bahar Sateli; René Witte
We present a novel architecture for the integration of Natural Language Processing (NLP) capabilities into wiki systems. The vision is that of a new generation of wikis that can help developing their own primary content and organize their structure by using state-of-the-art technologies from the NLP and Semantic Computing domains. The motivation for this integration is to enable wiki users -- novice or expert -- to benefit from modern text mining techniques directly within their wiki environment. We implemented these ideas based on MediaWiki and present a number of real-world application case studies that illustrate the practicability and effectiveness of this approach.
Wikipedia customization through web augmentation techniques BIBAFull-Text 11
  Oscar Díaz; Cristóbal Arellano; Gorka Puente
Wikipedia is a successful example of collaborative knowledge construction. This can be synergistically complemented with personal knowledge construction whereby individuals are supported in their sharing, experimenting and building of information in a more private setting, without the scrutiny of the whole community. Ideally, both approaches should be seamlessly integrated so that wikipedians can easily transit from the public sphere to the private sphere, and vice versa. To this end, we introduce WikiLayer, a plugin for Wikipedia that permits wikipedians locally supplement Wikipedia articles with their own content (i.e. a layer). Layering additional content is achieved locally by seamlessly interspersing Wikipedia content with custom content. WikiLayer is driven by three main wiki principles: affordability (i.e., if you know how to edit articles, you know how to layer), organic growth (i.e., layers evolve in synchrony with the underlying articles) and shareability (i.e., layers can be shared in confidence through the wikipedian's social network, e.g., Facebook). The paper provides motivating scenarios for readers, contributors and editors. WikiLayer is available for download at http://webaugmentation.org/wikilayer.xpi.
Classifying Wikipedia articles using network motif counts and ratios BIBAFull-Text 12
  Guangyu Wu; Martin Harrigan; Pádraig Cunningham
Because the production of Wikipedia articles is a collaborative process, the edit network around a article can tell us something about the quality of that article. Articles that have received little attention will have sparse networks; at the other end of the spectrum, articles that are Wikipedia battle grounds will have very crowded networks. In this paper we evaluate the idea of characterizing edit networks as a vector of motif counts that can be used in clustering and classification. Our objective is not immediately to develop a powerful classifier but to assess what is the signal in network motifs. We show that this motif count vector representation is effective for classifying articles on the Wikipedia quality scale. We further show that ratios of motif counts can effectively overcome normalization problems when comparing networks of radically different sizes.

Beyond Wikipedia

Towards content-driven reputation for collaborative code repositories BIBAFull-Text 13
  Andrew G. West; Insup Lee
As evidenced by SourceForge and GitHub, code repositories now integrate Web 2.0 functionality that enables global participation with minimal barriers-to-entry. To prevent detrimental contributions enabled by crowdsourcing, reputation is one proposed solution. Fortunately this is an issue that has been addressed in analogous version control systems such as the wiki for natural language content. The WikiTrust algorithm ("content-driven reputation"), while developed and evaluated in wiki environments operates under a possibly shared collaborative assumption: actions that "survive" subsequent edits are reflective of good authorship.
   In this paper we examine WikiTrust's ability to measure author quality in collaborative code development. We first define a mapping from repositories to wiki environments and use it to evaluate a production SVN repository with 92,000 updates. Analysis is particularly attentive to reputation loss events and attempts to establish ground truth using commit comments and bug tracking. A proof-of-concept evaluation suggests the technique is promising (about two-thirds of reputation loss is justified) with false positives identifying areas for future refinement. Equally as important, these false positives exemplify differences in content evolution and the cooperative process between wikis and code repositories.
Design for free learning: a case study on supporting a service design course BIBAFull-Text 14
  Teresa Consiglio; Gerrit C. van der Veer
In this experience report, we provide a case study on the use of information and communication technology (ICT) in higher education, developing an open source interactive learning environment to support a blended course.
   Our aim is to improve the quality of adult distance learning, ultimately involving peers worldwide, by developing learning environments as flexible as possible regardless of the culture and context of use, of individual learning style and age of the learners. Our example concerns a course of Service Design where the teacher was physically present only intermittently for part of the course while in the remaining time students worked in teams using our online learning environment.
   We developed a structure where students are guided through discovery learning and mutual teaching. We will show how we started from the students' authentic goals and how we supported them by a simple structure of pacing the discovery process and merging theoretical understanding with practice in real life.
   Based on these first empirical results practical guidelines have been developed regarding improvements on the structure provided for the learning material and on the interaction facilities for students, teachers and instructional designers.
On the accuracy of urban crowd-sourcing for maintaining large-scale geospatial databases BIBAFull-Text 15
  Afra Mashhadi; Giovanni Quattrone; Licia Capra; Peter Mooney
The world is in the midst of an immense population shift from rural areas to cities. Urban elements, such as businesses, Points-of-Interest (POIs), transportation, and housing are continuously changing, and collecting and maintaining accurate information about these elements within spatial databases has become an incredibly onerous task. A solution made possible by the uptake of social media is crowd-sourcing, where user-generated content can be cultivated into meaningful and informative collections, as exemplified by sites like Wikipedia. This form of user-contributed content is no longer confined to the Web: equipped with powerful mobile devices, citizens have become cartographers too, volunteering geographic information (e.g., POIs) as exemplified by sites like OpenStreetMap. In this paper, we investigate the extent to which crowd-sourcing can be relied upon to build and maintain an accurate map of the changing world, by means of a thorough analysis and comparison between traditional web-based crowd-sourcing (as in Wikipedia) and urban crowd-sourcing (as in OpenStreetMap).

Under the collaborative covers

"Writing up rather than writing down": becoming Wikipedia literate BIBAFull-Text 16
  Heather Ford; R. Stuart Geiger
Editing Wikipedia is certainly not as simple as learning the MediaWiki syntax and knowing where the "edit" bar is, but how do we conceptualize the cultural and organizational understandings that make an effective contributor? We draw on work of literacy practitioner and theorist Richard Darville to advocate a multi-faceted theory of literacy that sheds light on what new knowledges and organizational forms are required to improve participation in Wikipedia's communities. We outline what Darville refers to as the "background knowledges" required to be an empowered, literate member and apply this to the Wikipedia community. Using a series of examples drawn from interviews with new editors and qualitative studies of controversies in Wikipedia, we identify and outline several different literacy asymmetries.
Deletion discussions in Wikipedia: decision factors and outcomes BIBAFull-Text 17
  Jodi Schneider; Alexandre Passant; Stefan Decker
Deletion of articles is a common process in Wikipedia, in order to ensure the overall quality of the encyclopedia. Yet, there is a need to better understand the procedures in order to promote the best decisions without unnecessary community work. In this paper, we study deletion in Wikipedia, drawing from factor analysis, and taking an in-depth, content-analysis-based approach. We address three research questions: First, what factors contribute to the decision about whether to delete a given article? Second, when multiple factors are given, what is the relative importance of those factors? Third, what are the outcomes of deletion discussions, both for articles and for the community? We find that multiple factors contribute to the assessment of an article, and we discuss their relative frequency. Further, we show how the assessment timeline focuses attention on improving borderline articles that have the potential to meet Wikipedia's content inclusion policies, and we highlight the role of novice contributors in this improvement process.
Mutual evaluation of editors and texts for assessing quality of Wikipedia articles BIBAFull-Text 18
  Yu Suzuki; Masatoshi Yoshikawa
In this paper, we propose a method to identify good quality Wikipedia articles by mutually evaluating editors and texts. A major approach for assessing article quality is a text survival ratio based approach. In this approach, when a text survives beyond multiple edits, the text is assessed as good quality. This approach assumes that poor quality texts are deleted by editors with high possibility. However, many vandals delete good quality texts frequently, then the survival ratios of good quality texts are improperly decreased by vandals. As a result, many good quality texts are unfairly assessed as poor quality. In our method, we consider editor quality for calculating text quality, and decrease the impacts on text qualities by the vandals who has low quality. Using this improvement, the accuracy of the text quality should be improved. However, an inherent problem of this idea is that the editor qualities are calculated by the text qualities. To solve this problem, we mutually calculate the editor and text qualities until they converge. We did our experimental evaluation, and we confirmed that the proposed method could accurately assess the text qualities.


Biographical social networks on Wikipedia: a cross-cultural study of links that made history BIBAFull-Text 19
  Pablo Aragon; David Laniado; Andreas Kaltenbrunner; Yana Volkovich
It is arguable whether history is made by great men and women or vice versa, but undoubtably social connections shape history. Analysing Wikipedia, a global collective memory place, we aim to understand how social links are recorded across cultures. Starting with the set of biographies in the English Wikipedia we focus on the networks of links between these biographical articles on the 15 largest language Wikipedias. We detect the most central characters in these networks and point out culture-related peculiarities. Furthermore, we reveal remarkable similarities between distinct groups of language Wikipedias and highlight the shared knowledge about connections between persons across cultures.
In search of the ur-Wikipedia: universality, similarity, and translation in the Wikipedia inter-language link network BIBAFull-Text 20
  Morten Warncke-Wang; Anuradha Uduwage; Zhenhua Dong; John Riedl
Wikipedia has become one of the primary encyclopaedic information repositories on the World Wide Web. It started in 2001 with a single edition in the English language and has since expanded to more than 20 million articles in 283 languages. Criss-crossing between the Wikipedias is an inter-language link network, connecting the articles of one edition of Wikipedia to another. We describe characteristics of articles covered by nearly all Wikipedias and those covered by only a single language edition, we use the network to understand how we can judge the similarity between Wikipedias based on concept coverage, and we investigate the flow of translation between a selection of the larger Wikipedias. Our findings indicate that the relationships between Wikipedia editions follow Tobler's first law of geography: similarity decreases with increasing distance. The number of articles in a Wikipedia edition is found to be the strongest predictor of similarity, while language similarity also appears to have an influence. The English Wikipedia edition is by far the primary source of translations. We discuss the impact of these results for Wikipedia as well as user-generated content communities in general.
Manypedia: comparing language points of view of Wikipedia communities BIBAFull-Text 21
  Paolo Massa; Federico Scrinzi
The 4 million articles of the English Wikipedia have been written in a collaborative fashion by more than 16 million volunteer editors. On each article, the community of editors strive to reach a neutral point of view, representing all significant views fairly, proportionately, and without biases. However, beside the English one, there are more than 280 editions of Wikipedia in different languages and their relatively isolated communities of editors are not forced by the platform to discuss and negotiate their points of view. So the empirical question is: do communities on different language Wikipedias develop their own diverse Linguistic Points of View (LPOV)? To answer this question we created and released as open source Manypedia, a web tool whose aim is to facilitate cross-cultural analysis of Wikipedia language communities by providing an easy way to compare automatically translated versions of their different representations of the same topic.


Collaborative hypervideo editing using MediaWiki BIBAFull-Text 22
  Niels Seidel
Current wikis cannot be used to host or author rich dynamic hypervideos along with hypertext elements. In this article vi-wiki is presented as an approach for seamless and collaborative integration of interactive hypervideos into MediaWiki. Vi-wiki combines the wiki metaphor with a direct manipulation user interface for hypervideo authoring and particular markup conventions. The research makes a contribution to collaborative work and learning with wikis. It enables users to annotate spatio-temporal hyperlinks as well as composite sequential video clips through both, a graphical user interface and a generic markup language.
How people assess cooperatively authored information resources BIBAFull-Text 23
  Andrea Forte; Thomas Park
This work in progress highlights late-breaking results and foreshadows opportunities for designing interfaces that help support credibility assessment of cooperatively authored information resources.
LuKe: the challenge of integrating bottom-up wiki working environments in contexts of academic learning BIBAFull-Text 24
  Benedikt G. Kroll
In this abstract, the author proposes a poster presentation on the challenges faced by wiki system developers when trying to integrate bottom-up structure wiki-based working and learning environments in contexts of academic learning.
   These contexts are characterized by
  • the desire of learners to have all necessary information readily at hand
  • students only regarding work as "worthy to be done" if it translates directly
       into credit points in their study curriculum
  • a lack of know-how about using basic web technologies other than
       consumption-style surfing in many of the concerned groups and individuals Empirical setting is the digital learning and working environment LuKe, which is being established at the Institute of Cultural Anthropology and European Ethnology at the University of Frankfurt am Main, Germany.
  • Preparing wikis for educational settings: the role of discussion board use in wiki-based writing BIBAFull-Text 25
      Astrid Wichmann
    Using wikis for educational purposes has become a common activity in learning contexts. Despite its frequent use for learning, we still know little about the demands of wiki-based writing taking into account novice writers' needs. In this paper we describe a study in which we investigate whether a communication facility in form of a structured discussion board, results in more active writing, particularly adding and revising text. Students from two university courses participated in a three week writing activity either in a Discussion+ condition in which a discussion board was available or in a Discussion- condition with no discussion board available. Results show that the availability of a discussion board alone does not help learners to overcome their hesitation to add text-sections or revise text of others. However, further analysis showed that students who did use the discussion board also contributed more to the wiki-text. Findings suggest that increased demands exist in wiki-based writing and that additional support is needed for learners to succeed in wiki-based writing.
    ReqWiki: a semantic system for collaborative software requirements engineering BIBAFull-Text 26
      Bahar Sateli; Srinivasan Sembakkam Rajivelu; Elian Angius; René Witte
    The requirements engineering phase within a software project is a heavily knowledge-driven, collaborative process that typically involves the analysis and creation of a large number of textual artifacts. We know that requirements engineering has a large impact on the success of a project, yet sophisticated tool support, especially for small to mid-size enterprises, is still lacking. We present ReqWiki, a novel open source web-based approach based on a semantic wiki that includes Natural Language Processing (NLP) assistants, which work collaboratively with humans on the requirements specification documents.
    Two corporate wiki applications for process improvement BIBAFull-Text 27
      Alexildo Velozo Vaz; Diana Pierre do Nascimento
    This work describes two deployments of wikis in a Brazilian mining company, in order to improve work process in a collaborative way. In the first case, a wiki was developed to replace a glossary as part of engineering standardization. In the second case, the purpose was to improve scripts used by help-desk attendants in a Shared Services Center (SSC). We found that, despite been a powerful tool, the deployment of a wiki needs a well defined target aligned to the strategy, a champion, good initial content, and constant training.
    Understanding wiki collaboration in Quebec healthcare organizations BIBAFull-Text 28
      Régis Barondeau
    Quebec healthcare organizations are becoming more and more interested in implementing wikis. This is a radical change for a number of organizations as the horizontality of the wiki challenges the verticality of the organization structure and above all its culture. Our research will take a new approach by using Boltanski and Thévenot's six worlds framework to observe wiki collaboration through a multi-case analysis including a double hermeneutic process using a research wiki. The expected outputs are a better understanding of the test, justification and compromise phases actors go through while collaborating on wikis and ultimately, to build a model to help Quebec healthcare organizations enhance their wiki collaboration.
    Wedata: a wiki system for service oriented tiny code sharing BIBAFull-Text 29
      Koichiro Eto; Masahiro Hamasaki; Hideaki Takeda
    A new trend for applications for the Internet is to create and share tiny codes for applications like site-specific codes for a browser extension. It needs a new tools to share and distribute such codes efficiently. We built a Wiki site called Wedata which stores tiny code for a particular service. Wedata has three features: machine readability, code sharing, and service orientation. Many developers already use Wedata for browser extensions. More than 1,300,000 users are using Wedata. As described in this paper, we describe the Wedata system, usage statistics, and the behavior of open collaboration on the system.
    Wikipedia in the age of Siri: task-based evaluation of Google, Wikipedia, and Wolfram Alpha BIBAFull-Text 30
      Hogyeong Jeong
    In this paper, we describe a task-based method to evaluate relative effectiveness of Wikipedia. We then use this method to compare Wikipedia against an internet search engine (Google) and an answer engine that uses structured data (Wolfram Alpha).


    Alternative interfaces for deletion discussions in Wikipedia: some proposals using decision factors BIBAFull-Text 31
      Jodi Schneider; Krystian Samp
    Content deletion is an important mechanism for maintaining quality in online communities. In Wikipedia, deletion is guided by complex procedures. Controversial cases (~12% [4]) are sent to special community discussions called "Articles for Deletion" (AfD). Deciding the outcome of these deletion debates can be difficult. Further, deletion seems to be a point of friction, which demotivates new editors without sufficiently informing them about Wikipedia's values and standards.
    CoSyne: synchronizing multilingual wiki content BIBAFull-Text 32
      Amit Bronner; Matteo Negri; Yashar Mehdad; Angela Fahrni; Christof Monz
    CoSyne is a content synchronization system for assisting users and organizations involved in the maintenance of multilingual wikis. The system allows users to explore the diversity of multilingual content using a monolingual view. It provides suggestions for content modification based on additional or more specific information found in other language versions, and enables seamless integration of automatically translated sentences while giving users the flexibility to edit, correct and control eventual changes to the wiki page. To support these tasks, CoSyne employs state-of-the-art machine translation and natural language processing techniques.
    Papyrus: a deep hypertext system BIBAFull-Text 33
      Victor Grishchenko; Aleksei Balandin
    We demonstrate a running deep hypertext system named Papyrus. It features real-time collaborative editing, deep versioning and deep referencing within an evolving text. Our system sets a new standard for hypertext editing and versioning.
    Statistical computing and graphics in Opasnet MediaWiki BIBAFull-Text 34
      Juha Villman; Einari Happonen
    Wikisystems are good for producing text and documents in collaborative manner. We want to extend this to cover mathematical model building as well. In our demonstration we will show how R (statistical software) can be integrated into Mediawiki as an extension (R-Tools) and how it can be used directly from wiki pages. This extension enables users to write R-code, run it and see the results of the calculation on the wiki page. R-tools can use data from external databases and this functionality is also demonstrated.
    Supporting wiki users with natural language processing BIBAFull-Text 35
      Bahar Sateli; René Witte
    We present a "self-aware" wiki system, based on the MediaWiki engine, that can develop and organize its content using state-of-art techniques from the Natural Language Processing (NLP) and Semantic Computing domains. This is achieved with an architecture that integrates novel NLP solutions within the MediaWiki environment to allow wiki users to benefit from modern text mining techniques. As concrete applications, we present how the enhanced MediaWiki engine can be used for biomedical literature curation, cultural heritage data management, and software requirements engineering.
    The consensus game: modeling peer decision protocols BIBAFull-Text 36
      Oren Bochman
    Game theoretic (GT) models of conflict and cooperation can be used to investigate peer deliberation in a CSCW environment. They provide insight into behavioral paradoxes observed in CSCW applications; to optimize decision making protocols and find remedies for Wikipedia's editor loss problem.
    WikiLayer: annotation for Wikipedia BIBAFull-Text 37
      Oscar Diaz; Cristóbal Arellano; Gorka Puente
    Reading Wikipedia is the entry to more involved activities such as editing. However, the jump from reading to editing could be too big for some wikipedians who can be intimidated by exposing their content to public scrutiny. Annotating might foster not only reading but also be the prelude to editing. Different annotation tools exist for the Web (e.g., Diigo, A.nnotate). Being a Web application, Wikipedia can benefit from these tools. However, general-purpose annotation tools do not make annotation a natural gesture within Wikipedia. That is, annotation editing, rendering or retrieval in e.g. Diigo is dissociated from the edition, rendering or location of articles in Wikipedia, hindering the role of annotation as the prelude to article edition. WikiLayer is a Wikipedia-specific annotation tool. The implications include: (1) wikinotes (i.e. annotations on Wikipedia articles) might be WikiText formatted; (2) wikinote rendering is seamlessly integrated within the Wikipedia front-end; (3) wikinote editing, management and sharing is achieved without leaving Wikipedia (no separated annotation repository). WikiLayer is available for Firefox and Chrome.
    WikiNext, a JavaScript wiki with semantic features BIBAFull-Text 38
      Pavel Arapov; Michel Buffa
    WikiNext, is a semantic wiki prototype written in JavaScript, from database to server and client code. It is not in competition with wikis like Semantic Media Wiki, but more a test bed for new ideas. Every wiki page is an application that keeps a Web Socket open with the server, enabling incremental saves or collaborative editions using Google wave like algorithms. Using JavaScript on the whole chain of operations avoids data transformation from/to different formats like in traditional approaches (Objects, JSON/XML, and SQL). WikiNext uses JavaScript distributed objects and includes an IDE to write JS applications within wiki pages.
    WikiTrip: animated visualization over time of geo-location and gender of Wikipedians who edited a page BIBAFull-Text 39
      Paolo Massa; Maurizio Napolitano; Federico Scrinzi; Michela Ferron
    In this short paper, we present WikiTrip, a web tool we created and released as open source which provides a visualization over time of two kinds of information about the Wikipedians who edited a selected page: their location in the world and their gender. We also describe evidence that pages on a language edition of Wikipedia which receive most attention in terms of edits from countries where the language is not primarily spoken are about TV shows and stars, football teams or specific geographic locations.
    WikiWhirl: wiki refactoring made easy BIBAFull-Text 40
      Gorka Puente; Oscar Díaz
    Wikis' organic growth inevitably leads to wiki degradation and the need for regular wiki refactoring. So far, wiki refactoring is a manual, time-consuming and error-prone activity since refactoring is conducted at the same level that editing: the article. This results in no performant wikis and the frequent abandon of wiki projects. We argue that refactoring requires a broader view of the wiki structure, where the impact of splitting, moving or merging extends beyond a single article. This demo shows WikiWhirl, a tool that visualizes and manipulates wikis via mind maps. Built on top of FreeMind, WikiWhirl (i) imports a wiki from MediaWiki, (ii) displays its structure as a mind map, (iii) supports refactoring operators as mind map node manipulation, and finally, (iv) saves those changes back to the wiki ensuring authorship and readership.


    What aren't we measuring?: methods for quantifying wiki-work BIBAFull-Text 41
      Aaron Halfaker; Brian Keegan; Andrea Forte; R. Stuart Geiger; Dario Taraborelli; Maryana Pinchuk; Mikhil Masli
    Wikis and other open collaboration systems rely on the work of contributors to survive. But what is work and how do we quantify it? Answering this question in the right context is essential for attaining robust and generalizable results across open contribution systems. Our goal is to develop a repertoire of metrics and understand their possible dimensions in order to refine our ability as a research community to measure wikis and wiki activity appropriately across a wide range of contexts. This panel explores the current practice of measuring work in wikis, offers perspectives about the limitations of current approaches and suggests new opportunities for measuring contribution behavior.