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ISW Tables of Contents: 0506070809101112131415-115-2

Proceedings of the 2011 International Symposium on Wikis and Open Collaboration

Fullname:Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Editors:Felipe Ortega; Andrea Forte
Location:Mountain View, California
Dates:2011-Oct-03 to 2011-Oct-05
Publisher:ACM
Standard No:ISBN 1-4503-0909-7, 978-1-4503-0909-7; ACM DL: Table of Contents hcibib: ISW11
Papers:46
Pages:245
Links:Symposium Home Page | Online Proceedings | Symposium Series Home Page
  1. Understanding Wikipedia
  2. Collaboration in diverse contexts
  3. Designing for open collaboration
  4. Wiki tools and interfaces
  5. Wikipedia as a global phenomenon
  6. Wikis in the workplace
  7. Sustaining open collaboration
  8. Posters
  9. Demos
  10. Panel
  11. Workshops
  12. Doctoral symposium

Understanding Wikipedia

WP:clubhouse?: an exploration of Wikipedia's gender imbalance BIBAFull-Text 1-10
  Shyong (Tony) K. Lam; Anuradha Uduwage; Zhenhua Dong; Shilad Sen; David R. Musicant; Loren Terveen; John Riedl
Wikipedia has rapidly become an invaluable destination for millions of information-seeking users. However, media reports suggest an important challenge: only a small fraction of Wikipedia's legion of volunteer editors are female. In the current work, we present a scientific exploration of the gender imbalance in the English Wikipedia's population of editors. We look at the nature of the imbalance itself, its effects on the quality of the encyclopedia, and several conflict-related factors that may be contributing to the gender gap. Our findings confirm the presence of a large gender gap among editors and a corresponding gender-oriented disparity in the content of Wikipedia's articles. Further, we find evidence hinting at a culture that may be resistant to female participation.
Gender differences in Wikipedia editing BIBAFull-Text 11-14
  Judd Antin; Raymond Yee; Coye Cheshire; Oded Nov
As Wikipedia has become an indispensable source of online information, concerns about who writes, edits, and maintains it have come to the forefront. In particular, the 2010 UNU-MERIT survey found evidence of a significant gender skew: fewer than 13% of Wikipedia contributors are women. However, the number of contributors is just one way to examine gender differences in contribution. In this paper we take a more fine-grained perspective by examining how much and what types of Wiki-work men and women tend to do. First, we find that the so-called "Gender Gap" in number of editors may not be as wide as prior studies have suggested. Second, although more than 80% of editors in our sample were men, among the bottom 75% of editors by activity-level, we find that men and women made similar numbers of revisions. However, among the most active Wikipedians men tended to make many more revisions than women. Finally, we find that the most active women in our sample tended to make larger revisions than the most active men. We conclude by discussing directions for future research.
Finding patterns in behavioral observations by automatically labeling forms of wikiwork in Barnstars BIBAFull-Text 15-24
  David W. McDonald; Sara Javanmardi; Mark Zachry
Our everyday observations about the behaviors of others around us shape how we decide to act or interact. In social media the ability to observe and interpret others' behavior is limited. This work describes one approach to leverage everyday behavioral observations to develop tools that could improve understanding and sense making capabilities of contributors, managers and researchers of social media systems. One example of behavioral observation is Wikipedia Barnstars. Barnstars are a type of award recognizing the activities of Wikipedia editors. We mine the entire English Wikipedia to extract barnstar observations. We develop a multi-label classifier based on a random forest technique to recognize and label distinct forms of observed and acknowledged activity. We evaluate the classifier through several means including use of separate training and testing datasets and the by application of the classifier to previously unlabeled data. We use the classifier to identify Wikipedia editors who have been observed with some predominant types of behavior and explore whether those patterns of behavior are evident and how observers seem to be making the observations. We discuss how these types of activity observations can be used to develop tools and potentially improve understanding and analysis in wikis and other online communities.
What Wikipedia deletes: characterizing dangerous collaborative content BIBAFull-Text 25-28
  Andrew G. West; Insup Lee
Collaborative environments, such as Wikipedia, often have low barriers-to-entry in order to encourage participation. This accessibility is frequently abused (e.g., vandalism and spam). However, certain inappropriate behaviors are more threatening than others. In this work, we study contributions which are not simply "undone" -- but deleted from revision histories and public view. Such treatment is generally reserved for edits which: (1) present a legal liability to the host (e.g., copyright issues, defamation), or (2) present privacy threats to individuals (i.e., contact information).
   Herein, we analyze one year of Wikipedia's public deletion log and use brute-force strategies to learn about privately handled redactions. This permits insight about the prevalence of deletion, the reasons that induce it, and the extent of end-user exposure to dangerous content. While Wikipedia's approach is generally quite reactive, we find that copyright issues prove most problematic of those behaviors studied.

Collaboration in diverse contexts

Quality is a verb: the operationalization of data quality in a citizen science community BIBAFull-Text 29-38
  S. Andrew Sheppard; Loren Terveen
Citizen science is becoming more valuable as a potential source of environmental data. Involving citizens in data collection has the added educational benefits of increased scientific awareness and local ownership of environmental concerns. However, a common concern among domain experts is the presumed lower quality of data submitted by volunteers. In this paper, we explore data quality assurance practices in River Watch, a community-based monitoring program in the Red River basin. We investigate how the participants in River Watch understand and prioritize data quality concerns. We found that data quality in River Watch is primarily maintained through universal adherence to standard operating procedures, but there remain areas where technological intervention may help. We also found that rigorous data quality assurance practices appear to enhance rather than hinder the educational goals of the program. We draw implications for the design of quality assurance mechanisms for River Watch and other citizen science projects.
Online and offline interactions in online communities BIBAFull-Text 39-48
  Wyl McCully; Cliff Lampe; Chandan Sarkar; Alcides Velasquez; Akshaya Sreevinasan
Online communities, while primarily enacted through technology-mediated environments, can also include offline meetings between members, promoting interactivity and community building. This study explores the offline interactions of online community members and its subsequent impact on online participation. We argue that offline interactions have a counterintuitive impact on online participation. Although these offline interactions strengthen relationships, these relationships undermine the community's sustainability in terms of site participation. Participation has been defined as contribution of content to the online community. A multi-method analysis technique using content analysis, qualitative interviews, and server level quantitative data of users in Everything2.com supports our claim.
Don't leave me alone: effectiveness of a framed wiki-based learning activity BIBAFull-Text 49-52
  Nikolaos Tselios; Panagiota Altanopoulou; Vassilis Komis
In this paper, the effectiveness of a framed wiki-based learning activity is examined. A one-group pretest-posttest design was conducted towards this aim. The study involved 146 first year university students of a Greek Education Department using wikis to learn basic aspects and implications of search engines in the context of a first year course entitled "Introduction to ICT". Data analysis showed significant improvement in learning outcomes, in particular for students with low initial performance. The average students' questionnaire score jumped from 38.6% to 55%. In addition, a positive attitude towards using wikis in their project was expressed by the students. The design of the activity, the context of the study and the results obtained are discussed in detail.

Designing for open collaboration

A meta-reflective wiki for collaborative design BIBAFull-Text 53-62
  Li Zhu; Ivan Vaghi; Barbara Rita Barricelli
This paper presents MikiWiki, a meta-reflective wiki developed to prototype key aspects of the Hive-Mind Space model. MikiWiki is aimed at supporting End-User Development activities and exploring the opportunities to enable software tailoring at use time. Such an open-ended collaborative design process is realized by providing basic boundary object prototypes, allowing end users to remix, modify, and create their own boundary objects. Moreover, MikiWiki minimizes essential services at the server-side, while putting the main functionalities on the client-side, opening the whole system to its users for further tailoring. In addition to traditional wikis, MikiWiki allows different Communities of Practice to collaboratively design and to continuously evolve the whole system. This approach illustrates the meta-design concept, where some software collaboration between professional developers and end users is made possible through communication channels properly associated with the environment. As such, the MikiWiki environment is presented as a 'concept demonstrator' for meta-design and end-user tailoring.
Wiki grows up: arbitrary data models, access control, and beyond BIBAFull-Text 63-71
  Reid Priedhorsky; Loren Terveen
Ward Cunningham's vision for the wiki was that it would be "the simplest online database that could possibly work". We consider here a common manifestation of simplicity: the assumption that the objects in a wiki that can be edited (e.g., Wikipedia articles) are relatively independent. As wiki applications in new domains emerge, however, this assumption is no longer tenable. In wikis where the objects of interest are highly interdependent (e.g., geographic wikis), fundamental concepts like the revision and undoing must be refined. This is particularly so when fine-grained access control is required (as in enterprise wikis or wikis to support collaboration between citizens and government officials). We explore these issues in the context of the Cyclopath geowiki and present solutions that we have designed and have implemented or are implementing.
Design and implementation of the Sweble Wikitext parser: unlocking the structured data of Wikipedia BIBAFull-Text 72-81
  Hannes Dohrn; Dirk Riehle
The heart of each wiki, including Wikipedia, is its content. Most machine processing starts and ends with this content. At present, such processing is limited, because most wiki engines today cannot provide a complete and precise representation of the wiki's content. They can only generate HTML. The main reason is the lack of well-defined parsers that can handle the complexity of modern wiki markup. This applies to Media Wiki, the software running Wikipedia, and most other wiki engines.
   This paper shows why it has been so difficult to develop comprehensive parsers for wiki markup. It presents the design and implementation of a parser for Wikitext, the wiki markup language of MediaWiki. We use parsing expression grammars where most parsers used no grammars or grammars poorly suited to the task. Using this parser it is possible to directly and precisely query the structured data within wikis, including Wikipedia.
   The parser is available as open source from http://sweble.org

Wiki tools and interfaces

Vandalism detection in Wikipedia: a high-performing, feature-rich model and its reduction through Lasso BIBAFull-Text 82-90
  Sara Javanmardi; David W. McDonald; Cristina V. Lopes
User generated content (UGC) constitutes a significant fraction of the Web. However, some wiiki-based sites, such as Wikipedia, are so popular that they have become a favorite target of spammers and other vandals. In such popular sites, human vigilance is not enough to combat vandalism, and tools that detect possible vandalism and poor-quality contributions become a necessity. The application of machine learning techniques holds promise for developing efficient online algorithms for better tools to assist users in vandalism detection. We describe an efficient and accurate classifier that performs vandalism detection in UGC sites. We show the results of our classifier in the PAN Wikipedia dataset. We explore the effectiveness of a combination of 66 individual features that produce an AUC of 0.9553 on a test dataset -- the best result to our knowledge. Using Lasso optimization we then reduce our feature -- rich model to a much smaller and more efficient model of 28 features that performs almost as well -- the drop in AUC being only 0.005. We describe how this approach can be generalized to other user generated content systems and describe several applications of this classifier to help users identify potential vandalism.
Autonomous link spam detection in purely collaborative environments BIBAFull-Text 91-100
  Andrew G. West; Avantika Agrawal; Phillip Baker; Brittney Exline; Insup Lee
Collaborative models (e.g., wikis) are an increasingly prevalent Web technology. However, the open-access that defines such systems can also be utilized for nefarious purposes. In particular, this paper examines the use of collaborative functionality to add inappropriate hyperlinks to destinations outside the host environment (i.e., link spam). The collaborative encyclopedia, Wikipedia, is the basis for our analysis.
   Recent research has exposed vulnerabilities in Wikipedia's link spam mitigation, finding that human editors are latent and dwindling in quantity. To this end, we propose and develop an autonomous classifier for link additions. Such a system presents unique challenges. For example, low barriers-to-entry invite a diversity of spam types, not just those with economic motivations. Moreover, issues can arise with how a link is presented (regardless of the destination).
   In this work, a spam corpus is extracted from over 235,000 link additions to English Wikipedia. From this, 40+ features are codified and analyzed. These indicators are computed using wiki metadata, landing site analysis, and external data sources. The resulting classifier attains 64% recall at 0.5% false-positives (ROC-AUC= 0.97). Such performance could enable egregious link additions to be blocked automatically with low false-positive rates, while prioritizing the remainder for human inspection. Finally, a live Wikipedia implementation of the technique has been developed.
NICE: social translucence through UI intervention BIBAFull-Text 101-104
  Aaron Halfaker; Bryan Song; D. Alex Stuart; Aniket Kittur; John Riedl
Social production systems such as Wikipedia rely on attracting and motivating volunteer contributions to be successful. One strong demotivating factor can be when an editor's work is discarded, or "reverted", by others. In this paper we demonstrate evidence of this effect and design a novel interface aimed at improving communication between the reverting and reverted editors. We deployed the interface in a controlled experiment on the live Wikipedia site, and report on changes in the behavior of 487 contributors who were reverted by editors using our interface. Our results suggest that simple interface modifications (such as informing Wikipedians that the editor they are reverting is a newcomer) can have substantial positive effects in protecting against contribution loss in newcomers and improving the quality of work done by more experienced contributors.

Wikipedia as a global phenomenon

Hot off the wiki: dynamics, practices, and structures in Wikipedia's coverage of the Tohoku catastrophes BIBAFull-Text 105-113
  Brian Keegan; Darren Gergle; Noshir Contractor
Wikipedia editors are uniquely motivated to collaborate around current and breaking news events. However, the speed, urgency, and intensity with which these collaborations unfold also impose a substantial burden on editors' abilities to effectively coordinate tasks and process information. We analyze the patterns of activity on Wikipedia following the 2011 Tohoku earthquake and tsunami to understand the dynamics of editor attention and participation, novel practices employed to collaborate on these articles, and the resulting coauthorship structures which emerge between editors and articles. Our findings have implications for supporting future coverage of breaking news articles, theorizing about motivations to participate in online community, and illuminating Wikipedia's potential role in storing cultural memories of catastrophe.
Collective memory building in Wikipedia: the case of North African uprisings BIBAFull-Text 114-123
  Michela Ferron; Paolo Massa
Since December 2010, a series of protests and uprisings have shocked North African countries such as Tunisia, Egypt, Libya, Syria, Yemen and more. In this paper, focusing mainly on the Egyptian revolution, we provide evidence of the intense edit activity occurred during these uprisings on the related Wikipedia pages. Thousands of people provided their contribution on the content pages and discussed improvements and disagreements on the associated talk pages as the traumatic events unfolded. We propose to interpret this phenomenon as a process of collective memory building and argue how on Wikipedia this can be studied empirically and quantitatively in real time. We explore and suggest possible directions for future research on collective memory formation of traumatic and controversial events in Wikipedia.
Wikipedia world map: method and application of map-like wiki visualization BIBAFull-Text 124-133
  Cheong-lao Pang; Robert P. Biuk-Aghai
Wiki are popular platforms for collaborative editing. In volunteer-driven wikis such as Wikipedia, which attracts millions of authors editing articles on a diverse range of topics, contributors' editing activity results in certain semantic coverage of topic areas. Obtaining an understanding of a given wiki's semantic coverage is not easy. To solve this problem, we have devised a method for visualizing a wiki in a way similar to a geographic map. We have applied our method to Wikipedia, and generated visualizations for several Wikipedia language editions. This paper presents our wiki visualization method and its application.

Wikis in the workplace

The success of corporate wiki systems: an end user perspective BIBAFull-Text 134-143
  Zeeshan Ahmed Bhatti; Serge Baile; Hina Mahboob Yasin
With the ever increasing use of Web 2.0 sites on the internet, the use of Web 2.0 based tools is now employed by organizations across the globe. One of the most widely used Web 2.0 tools in organizations is wiki technology, particularly in project management. It is important for organizations to measure the success of their wiki system implementation. With the advent of new technologies in the market and their deployment by the firms, it is necessary to investigate how they can help organizations execute processes in a better way. In this paper we present a theoretical model for the measurement of corporate wikis' success from the end-user's perspective based on the theoretical foundation of DeLone & McLean's IS success model [17]. We extend the model by incorporating contextual factors with respect to wiki technology in a project management task. This study intends to help firms to understand in a better way, how they can use wikis to achieve an efficient, effective and improved end-user performance. This would also be helpful for companies engaged in wiki development business to improve their products keeping in view the perceptions of wiki end-users.
ICKEwiki: requirements and concepts for an enterprise wiki for SMEs BIBAFull-Text 144-153
  Stefan Voigt; Frank Fuchs-Kittowski; Detlef Hüttemann; Michael Klafft; Andreas Gohr
Extensive empirical studies of the use of Web 2.0 applications in small and medium-sized enterprises, together with requirements analyses among pilot users, served as the basis to compile requirements for a wiki knowledge and collaboration platform. This experience report discusses the requirements and their implementation in a new wiki engine (ICKEwiki). Initial field experiences with the ICKEwiki implemented among three pilot users are analyzed and potentials for the use and refinement of the platform are presented.
Wiki scaffolding: helping organizations to set up wikis BIBAFull-Text 154-162
  Oscar Díaz; Gorka Puente
Organizational wikis are framed by an existing organization. This makes these wikis be especially vigilant upon (1) facilitating the alignment of the wiki with organizational practices, (2) engaging management or (3), promoting employees' participation. To this end, we advocate for the use of "wiki scaffoldings". A wiki scaffolding is a wiki installation that is provided at the onset, before any contribution is made. It aims to frame wiki contribution along the concerns already known in the hosting organization in terms of glossaries, schedules, organigrams and the like. Thus, wiki contributions do not start from scratch but within a known setting. This paper introduces a language to capture wiki scaffolding in terms of FreeMind's mind maps. These maps can later be mapped into wiki installations in MediaWiki. The paper seeks to validate the approach in a twofold manner. Firstly, by providing literature quotes that suggest the need for scaffolding. Secondly, by providing scaffolding examples for wikis reported in the literature. The findings suggest that wiki scaffolding can be useful to smoothly align wiki activity along the practices of the hosting organization from the onset.

Sustaining open collaboration

Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work BIBAFull-Text 163-172
  Aaron Halfaker; Aniket Kittur; John Riedl
Reverts are important to maintaining the quality of Wikipedia. They fix mistakes, repair vandalism, and help enforce policy. However, reverts can also be damaging, especially to the aspiring editor whose work they destroy. In this research we analyze 400,000 Wikipedia revisions to understand the effect that reverts had on editors. We seek to understand the extent to which they demotivate users, reducing the workforce of contributors, versus the extent to which they help users improve as encyclopedia editors. Overall we find that reverts are powerfully demotivating, but that their net influence is that more quality work is done in Wikipedia as a result of reverts than is lost by chasing editors away. However, we identify key conditions -- most specifically new editors being reverted by much more experienced editors -- under which reverts are particularly damaging. We propose that reducing the damage from reverts might be one effective path for Wikipedia to solve the newcomer retention problem.
Mentoring in Wikipedia: a clash of cultures BIBAFull-Text 173-182
  David R. Musicant; Yuqing Ren; James A. Johnson; John Riedl
The continuous success of Wikipedia depends upon its capability to recruit and engage new editors, especially those with new knowledge and perspectives. Yet Wikipedia over the years has become a complicated bureaucracy that may be difficult for newcomers to navigate. Mentoring is a practice that has been widely used in offline organizations to help new members adjust to their roles. In this paper, we draw insights from the offline mentoring literature to analyze mentoring practices in Wikipedia and how they influence editor behaviors. Our quantitative analysis of the Adopt-a-user program shows mixed success of the program. Communication between adopters and adoptees is correlated with the amount of article editing done by adoptees shortly after adoption. Our qualitative analysis of the communication between adopters and adoptees suggests that several key functions of mentoring are missing or not fulfilled consistently. Most adopters focus on establishing their legitimacy rather than acting proactively to guide, protect, and support the long-term growth of adoptees. We conclude with recommendations of how Wikipedia mentoring programs can evolve to take advantage of offline best practices.
"How should I go from ___ to ___ without getting killed?": motivation and benefits in open collaboration BIBAFull-Text 183-192
  Katherine Panciera; Mikhil Masli; Loren Terveen
Many people rely on open collaboration projects to run their computer (Linux), browse the web (Mozilla Firefox), and get information (Wikipedia). While these projects are successful, many such efforts suffer from lack of participation. Understanding what motivates users to participate and the benefits they perceive from their participation can help address this problem. We examined these issues through a survey of contributors and information consumers in the Cyclopath geographic wiki. We analyzed subject responses to identify a number of key motives and perceived benefits. Based on these results, we articulate several general techniques to encourage more and new forms of participation in open collaboration communities. Some of these techniques have the potential to engage information consumers more deeply and productively in the life of open collaboration communities.

Posters

Wikipedia category visualization using radial layout BIBAFull-Text 193-194
  Robert P. Biuk-Aghai; Felix Hon Hou Cheang
Wikipedia is a large and popular daily information source for millions of people. How are articles distributed by topic area, and what is the semantic coverage of Wikipedia? Using manual methods it is impractical to determine this. We present the design of an information visualization tool that produces overview diagrams of Wikipedia's articles distributed according to category relationships, and show examples of visualizing English Wikipedia.
Wiki refactoring: an assisted approach based on ballots BIBAFull-Text 195-196
  Oscar Díaz; Gorka Puente; Cristóbal Arellano
Wikis' organic growth inevitably leads to a gradual degradation of the wiki content/structure which, in turn, may entail recurrent wiki refactoring. Unfortunately, no regression test exists to check the validity of the refactoring output. Some changes, even if compliant with good practices, can still require to be backed by the community which ends up bearing the maintenance burden. This calls for a semiautomatic approach where "refactoring bots" interact with wiki users to confirm the upgrades. This paper outlines this as follows. First, a refactoring bot detects wiki degradation. Second, the community evaluates the severity of the degradation through voting. Finally, the refactoring bot takes control and enacts the appropriate changes, if so decided by the community. This lessens but does not exclude, the participation of the community. We aim at reducing the maintenance penalty that goes with the laissez-faire way that characterizes wiki contributions.
Visualizing author contribution statistics in Wikis using an edit significance metric BIBAFull-Text 197-198
  Peter Kin-Fong Fong; Robert P. Biuk-Aghai
Wiki articles tend to be edited multiple times by multiple authors. This makes it difficult to identify individual authors' contributions by human observation alone. We calculate an edit significance metric, using different weights for different types of edits, which reflect the different value placed on them by wiki community members. We then aggregate edit significance values and present them as visualizations to the user to aid in perceiving extent and patterns of contributions.
COLT: a proposed center for open teaching and learning BIBAFull-Text 199-200
  Pete Forsyth; Robert E. Cummings
The Center for Open Learning and Teaching (COLT) is a proposed interdisciplinary research consortium and network with a physical center at the University of Mississippi supporting the integration of effective Internet-based learning practices into education.
   The Center for Open Learning and Teaching (COLT) is a proposed interdisciplinary research consortium and network with a physical center at the University of Mississippi supporting the integration of effective Internet-based learning practices into education.
Participation in Wikipedia's article deletion processes BIBAFull-Text 201-202
  R. Stuart Geiger; Heather Ford
We present results on a study of two levels of Wikipedia's article deletion process: speedy deletions (or CSDs) and articles for deletions (or AfDs). Our findings indicate that the deletion process is heavily frequented by a relatively small number of longstanding users. In analyzing the rationales given for such deletions, it is apparent that the vast majority of such deleted articles are not spam, vandalism, or 'patent nonsense,' but rather articles which could be considered encyclopedic, but do not fit the project's standards.
Wiki architectures as social translucence enablers BIBAFull-Text 203-204
  Stephanie Gokhman; David W. McDonald; Mark Zachry
Whether novice or expert, it is useful for contributors to understand the environment to which they are contributing, including the relationships of other users to the content and to users. However, the relationships and work that enable content creation in an online contributor system, such as Wikipedia, are not always visible. To expose and better understand these relationships, we have built an information visualization toolkit called Re:Flex to support components of social translucence in Wikipedia, with broad applicability to other contributor systems. By mimicking the flexible, fluid architecture of a wiki within the blackboard architecture of this visualization toolkit, we demonstrate how the composable interactions inherent to contributor systems can be mirrored in the tools that support the work which creates them.
Exploring underproduction in Wikipedia BIBAFull-Text 205-206
  Andreea D. Gorbatai
Researchers have used Wikipedia data to identify a wide range of antecedents to success in collective production. But we have not yet inquired whether collective production creates those public goods which bring most value-add from a social perspective. In this poster I explore two key circumstances in which collective production can fail to respond to social need: when goods fail to attain high quality despite (1) high demand or (2) explicit designation by producers as highly important. In the context of Wikipedia. I propose first to examine articles that remain low quality, or underproduced, despite the fact they are viewed often; and second, to examine articles that remain low quality despite the fact that they were identified as important by Wikipedia contributors. This research highlights the fact that collective production needs to be examined not only by itself but also in the context of a market for goods in order to ascertain the benefits of this production form. The final version of this study will integrate data on underproduced articles with data on knowledge categories to uncover systematic patterns of underproduction at the category level and predict which categories are most in need of quality improvement. Additionally I will use in-depth qualitative methods to examine the mechanisms through which underproduction occurs in select knowledge categories to distill practical recommendations for collective production improvement.
TWiki a collaboration tool for the LHC BIBAFull-Text 207-208
  Peter L. Jones; Nils Høimyr
At the European Laboratory for High Energy Physics, CERN[1], the Large Hadron Collider (LHC)[2] accelerator is colliding beams of protons at energies of 3.5 TeV, recreating conditions close to those at the origin of the Universe. The four main LHC experiments, Alice, Atlas, CMS and LHCb are complex detectors with millions of output channels. These experiment detectors, "large as cathedrals", have been designed, built and are now operated by collaborations of physicists from universities and research institutes spread across the world.
   Wikis are a perfect match to the collaborative nature of CERN experiments and since TWiki[3] was installed at CERN in 2003 it has grown in popularity and the statistics from April 2011 show nearly 10000 registered editors and about 110000 topics (Figure 1). Since the start-up of the LHC more and more users are accessing TWiki requiring better server performance as well as finer control for read and write access and more features. This paper discusses the evolution of the use of TWiki at CERN.
A scourge to the pillar of neutrality: a WikiProject fighting systemic bias BIBAFull-Text 209-210
  Randall M. Livingstone
WikiProject Countering Systemic Bias consists of a small group of English-language Wikipedia editors attempting to counterbalance Western-leaning content on the site. A population survey of members of this WikiProject is currently underway and will be followed by online interviews with select editors. This poster will present preliminary findings from the survey and interviews in order to understand how this group perceives bias on Wikipedia and how they work together to fight it.
Places on the map and in the cloud: representations of locality and geography in Wikipedia BIBAFull-Text 211-212
  Randall M. Livingstone
This poster will present preliminary results of a study that considers the efforts of WikiProject Countering Systemic Bias, a collective of editors dedicated to combating bias on the English-language Wikipedia. Through a content analysis comparing the project to a sample from the general population, the scope of this group's labor is gauged and discussed.
Exploring linguistic points of view of Wikipedia BIBAFull-Text 213-214
  Paolo Massa; Federico Scrinzi
The 3 million articles of the English Wikipedia has been written since 2011 by more than 14 million volunteers. On each article, the community of editors strive to reach a neutral point of view, representing all significant views fairly, proportionately, and without bias. However, beside the English one, there are more than 270 Wikipedias 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 languages editions of Wikipedia develop their own diverse Linguistic Points of View (LPOV)? To answer this question we created Manypedia, a web tool whose goal is to ease cross-cultural comparisons of Wikipedia language communities by analyzing their different representations of the same topic.
Feedback mechanisms and their impact on motivation to contribute to wikis in higher education BIBAFull-Text 215-216
  Athanasios Mazarakis; Clemens van Dinther
The success of Wikis depends very strongly on the user participation and the willingness to edit. In this paper we examine within an experiment which influence different kinds of feedback have on the motivation to edit a Wiki page. The results indicate a positive impact of feedback on the willingness to participate in the Wiki for any of the used feedback mechanisms.
CoSyne: a framework for multilingual content synchronization of wikis BIBAFull-Text 217-218
  Christof Monz; Vivi Nastase; Matteo Negri; Angela Fahrni; Yashar Mehdad; Michael Strube
Wikis allow a large base of contributors easy access to shared content, and freedom in editing it. One of the side-effects of this freedom was the emergence of parallel and independently evolving versions in a variety of languages, reflecting the multilingual background of the pool of contributors. For the Wiki to properly represent the user-added content, this should be fully available in all its languages. Working on parallel Wikis in several European languages, we investigate the possibility to "synchronize" different language versions of the same document, by: i) pinpointing topically related pieces of information in the different languages, ii) identifying information that is missing or less detailed in one of the two versions, iii) translating this in the appropriate language, iv) inserting it in the appropriate place. Progress along such directions will allow users to share more easily content across language boundaries.
Incentivizing the ASL-STEM forum BIBAFull-Text 219-220
  Kyle Rector; Richard Ladner; Michelle Shepardson
The ASL-STEM Forum is a web forum which allows people who know American Sign Language (ASL), to contribute signs in the fields of STEM (Science, Technology, Engineering, and Mathematics). A key problem is increasing participation and contributions to the forum. To solve this problem, we introduced personal smart notifications, based on user profiles, which encourage users to contribute to the forum by adding new signs for STEM terms or commenting on existing signs. Since there might be a chance that a member will be familiar with the author of a topic or sign, they might be more inclined to contribute. In future work, a user study will follow to evaluate whether personal smart notifications will increase contributions to the ASL-STEM forum.
Wiki as business application platform: the MES showcase BIBAFull-Text 221-222
  Christoph Sauer
This presentation shows the business application suite mHub that implements the core components of a manufacturing execution system (MES) purely with a specially developed application wiki distribution. The novelty of the application wiki is its "wiki as business application platform" approach, that abstracts all necessary technologies to implement the solution within the edit page area. Other than application wikis targeted for end users, that merely serve as query interfaces to existing business applications, this application wiki enables developers to script every aspect of the application domain within the wiki itself.

Demos

Wikiotics: the interactive language instruction Wiki BIBAFull-Text 223
  Ian Sullivan; James R. Garrison; Matthew Curinga
While most existing wiki systems are geared toward editing text documents, we have built Wikiotics to enable the collaborative creation of interactive multimedia materials most needed in language instruction. In our demonstration, we will show several types of interactive lessons that can be created from simple multimedia elements. We will also show the lesson creation/editing interfaces and how our smart phone app can simplify the process of capturing local media and integrating that new media into existing lessons.
PukiWiki-Java Connector, a simple API for saving data of Java programs on a wiki BIBAFull-Text 224
  Takashi Yamanoue; Kentaro Oda; Koichi Shimozono
Experimental implementation of SDK for Java programs, PukiWiki-Java Connector, which makes an illusion that wiki pages as persistent data store, is shown. A Java program of them can be running on a wiki page and it can save its data on the page. The Java program consists of PukiWiki which is a popular wiki in Japan, the plug-in which starts up Java Applets. A Java Applet with default access privilege cannot store its data at the local host. We have constructed the API for the applets to ease data persistent at a remote host. We also combined the API and the wiki system by introducing a wiki plugin and tags for starting up Java Applets. Applet generated persistent data resides in wiki texts side by side. We have successfully ported useful programs such as a simple text editor, a simple music editor, a simple draw program and programming environments in a PukiWiki system using this connector.
Collaborative video editing for Wikipedia BIBAFull-Text 225
  Michael Dale
Collaborative video for Wikipedia faces several challenges from social and community adoption to technology limitations. This presentation explores how each of these problems are being addressed. The presentation focuses on building a collaborative educational video community and how the html5 technology platform has evolved to better support rich media applications such as HTML5 video editing in the browser and standardization around the royalty free WebM video format. Finally we propose a in-browser collaborative video sequencer to enable broad participation in video editing within Wikimedia projects.
Wiki4EAM: using hybrid wikis for enterprise architecture management BIBAFull-Text 226
  Florian Matthes; Christian Neubert
Enterprise architecture management (EAM) is a challenging task, modern enterprises have to face. This task is often addressed via heavy-weight and expensive EAM tools to collect, structure, visualize and analyze architectural information. A major problem in EAM is the mismatch between the existing unstructured information sources and the rigid information structures and collaboration mechanisms provided by today's EAM tools.

Panel

Apples to oranges?: comparing across studies of open collaboration/peer production BIBAFull-Text 227-228
  Judd Antin; Ed H. Chi; James Howison; Sharoda Paul; Aaron Shaw; Jude Yew
This panel seeks to begin a discussion of how we can meaningfully compare and contrast between the diverse instances of open collaboration and peer production employed on the Internet today. Current research on the topic have tended to be too platform -- (e.g. Wikipedia) or domain -- (e.g. Open source) specific. The panelists will be tasked with addressing this problem using their own expertise and research projects to bear on the issue. Ultimately, the panel will seek to lay the foundations for the development of theoretical frameworks and principles for the design and application of open collaboration and CBPP based systems.

Workshops

WikiLit: collecting the wiki and Wikipedia literature BIBAFull-Text 229-230
  Phoebe Ayers; Reid Priedhorsky
This workshop has three key goals. First, we will examine existing and proposed systems for collecting and analyzing the research literature about wikis. Second, we will discuss the challenges in building such a system and will engage participants to design a sustainable collaborative system to achieve this goal. Finally, we will provide a forum to build upon ongoing wiki community discussions about problems and opportunities in finding and sharing the wiki research literature.
Lessons from the classroom: successful techniques for teaching wikis using Wikipedia BIBAFull-Text 231-232
  Frank Schulenburg; LiAnna Davis; Max Klein
In the fall of 2010, the Wikimedia Foundation partnered with faculty from several top universities to introduce wiki technology and Wikipedia into class assignments of public policy related subjects. Through assignments based in Wikipedia students improved skills in collaboration, critical thinking, expository writing, media literacy, and technology fluency. In video interviews, students describe their experience and the learning objectives emerged through the Wikipedia assignment. Many students also commented on the satisfaction in producing a research document that had value beyond a grade. Professor Max Klein explains the success of his classroom use of a WikiProject page as a springboard for class discussion and homework assignments. Workshop participants experience some of the Wikipedia training modules through activities. This interactive workshop discloses some successes and failures of the Initiative and details specifically what makes a successful Wikipediaediting assignment.
5th Workshop on Wikis for Software Engineering BIBAFull-Text 233-234
  Ademar Aguiar; Paulo Merson
Using a wiki in software engineering settings dates back to its first usage in 1995. In fact, that was the motivation for Ward Cunningham to create the first wiki. Due to its simplicity, attractiveness and effectiveness for collaborative authoring and knowledge management, wikis are now massively disseminated and used in different domains. This workshop focuses on wikis for the specific domain of software engineering. It aims at bringing together researchers, practitioners, and enthusiasts interested on researching, exploring and learning how wikis can be improved, customized and used to better support software projects. Based on lessons learned and obstacles identified, a research agenda will be defined with key opportunities and challenges.

Doctoral symposium

Doctoral symposium: participants and overview BIBAFull-Text 235-236
  Loren Terveen
The WikiSym 2011 Doctoral Symposium was held as a preconference event on October 2nd, 2011 on the campus of Stanford University. Accepted PhD students were invited to present their dissertation work and participate in discussions and feedback sessions with three faculty mentors:
  • Loren Terveen, University of Minnesota
  • Coye Cheshire, University of California at Berkeley
  • Robert Biuk-Aghai, University of Macau Students also presented their work as a poster during the conference, to encourage more feedback and discussions with the WikiSym research community.