WikiSym 2011

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WikiSym 2011 is a conference.

Publications

Title Author(s) Keyword(s) Language Abstract R C
Autonomous Link Spam Detection in Purely Collaborative Environments Andrew G. West
Avantika Agrawal
Phillip Baker
Brittney Exline
Insup Lee
Wikipedia
Collaboration
Collaborative security
Information security
Spam
Spam mitigation
Reputation
Spatio- temporal features
Machine learning
Intelligent routing
English 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.
0 0
What Wikipedia Deletes: Characterizing Dangerous Collaborative Content Andrew G. West
Insup Lee
Wikipedia
User generated content
Collaboration
Redaction
Content removal
Copyright
Information security
English 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. 0 1
A meta-reflective wiki for collaborative design Li Zhu
Ivan Vaghi
Barbara Rita Barricelli
Hive-Mind Space model
MikiWiki
Boundary objects
Co-evolution
End-user development
Habitable environment
Meta-design
Mikinugget
Wiki
English 0 0
CoSyne: a framework for multilingual content synchronization of wikis Christof Monz
Vivi Nastase
Matteo Negri
Angela Fahrni
Yashar Mehdad
Michael Strube
Multilinguality
Recognizing textual entailment
Translation
Wiki
English 0 0
Collaborative video editing for Wikipedia Michael Dale English 0 0
Collective memory building in Wikipedia: The case of North African uprisings Michela Ferron
Paolo Massa
Wikipedia
Web 2.0
Collective memory
Revolution
Traumatic event
Egypt
North Africa
English 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. 14 0
Design and implementation of the Sweble Wikitext parser: unlocking the structured data of Wikipedia Hannes Dohrn
Dirk Riehle
AST
PEG
Sweble
WYSIWYG
Wikipedia
Abstract syntax tree
Parsing expression grammar
Wiki
Parser
English 0 0
Don't bite the newbies: how reverts affect the quantity and quality of Wikipedia work Aaron Halfaker
Aniket Kittur
John Riedl
WikiWork
Wikipedia
Experience
Motivation
Productivity
Quality
Revert
English 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. 0 0
Don't leave me alone: effectiveness of a framed wiki-based learning activity Nikolaos Tselios
Panagiota Altanopoulou
Vassilis Komis
Activity design
Collaborative learning
Learning outcome
Project based learning
Web 2.0
Wiki
English 0 0
Exploring linguistic points of view of Wikipedia Paolo Massa
Federico Scrinzi
Wikipedia
Linguistic point of view
Neutral point of view
Cross-cultural
Language
Comparison
Open source
Web
English 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. 0 1
Exploring underproduction in Wikipedia Andreea D. Gorbatai Collective production
Social goods
Underproduction
English 0 0
Feedback mechanisms and their impact on motivation to contribute to wikis in higher education Athanasios Mazarakis
Clemens van Dinther
Course wiki
Experiment
Feedback
Motivation
English 0 0
Gender differences in Wikipedia editing Judd Antin
Raymond Yee
Coye Cheshire
Oded Nov
Wikipedia
Gender
Participation
English 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. 0 0
Hot off the Wiki: Dynamics, Practices, and Structures in Wikipedia’s Coverage of the Tōhoku Catastrophes Brian Keegan
Darren Gergle
Darren Contractor
Wikipedia
Breaking news
Current events
Network analysis
Bipartite network
Emergent group
High tempo
Collaboration
English 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 Tōhoku 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. 0 0
Hot off the wiki: Dynamics, practices, and structures in Wikipedia's coverage of the Tōhoku catastrophes English 0 0
ICKEwiki: Requirements and concepts for an enterprise wiki for SMEs English 0 0
Lessons from the classroom: successful techniques for teaching wikis using Wikipedia Frank Schulenburg
LiAnna Davis
Max Klein
Wikipedia
Assignment
Coursework
Talk page
Public policy initiative
Student
Teaching tool
University
English 0 0
Mentoring in Wikipedia: a clash of cultures David R. Musicant
Yuqing Ren
James A. Johnson
John Riedl
Wikipedia
Mentoring
User retention
English 0 0
Participation in Wikipedia's article deletion processes R. Stuart Geiger
Heather Ford
Wikipedia
Administration
Bureaucracy
Community
Governance
English 0 0
Places on the map and in the cloud: representations of locality and geography in Wikipedia Randall M. Livingstone Wikipedia
Bias
Collaboration
Content
Geography
Users
Wiki
English 0 0
PukiWiki-Java Connector, a simple API for saving data of Java programs on a wiki Takashi Yamanoue
Kentaro Oda
Koichi Shimozono
Java applets
Collaboration
Data store API
Social coding
English 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. 2 3
The success of corporate wiki systems: an end user perspective Zeeshan A. Bhatti
Serge Baile
Hina M. Yasin
English 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. 0 0
Vandalism detection in Wikipedia: a high-performing, feature-rich model and its reduction through Lasso Sara Javanmardi
David W. McDonald
Cristina V. Lopes
Lasso
Wikipedia
Random forests
Vandalism detection
English 0 0
Visualizing author contribution statistics in Wikis using an edit significance metric Peter Kin-Fong Fong
Robert P. Biuk-Aghai
Wikipedia
Edit significance
Information visualization
Revision history
Wiki
English 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. 0 0
WP:clubhouse?: an exploration of Wikipedia's gender imbalance Shyong (Tony) K. Lam
Anuradha Uduwage
Zhenhua Dong
Shilad Sen
David R. Musicant
Loren Terveen
John Riedl
Wikipedia
Collaboration
Content coverage
Gender gap
English 0 0
What Wikipedia deletes: characterizing dangerous collaborative content Andrew G. West
Insup Lee
Wikipedia
Collaboration
Content removal
Copyright
Information security
Redaction
User generated content
English 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. 0 1
Wiki architectures as social translucence enablers Stephanie Gokhman
David W. McDonald
Mark Zachry
Wikipedia
Social translucence
Software architecture
Wiki
English 0 0
Wiki as business application platform: the MES showcase Christoph Sauer ERP
MES
Application wikis
Collaborative software development
Manufacturing automation and control
Rapid application development
Software engineering
Web IDE
English 0 0
Wiki grows up: arbitrary data models, access control, and beyond Reid Priedhorsky
Loren Terveen
Access control
Data models
Geographic wikis
Geowikis
Wiki
English 0 1
Wiki refactoring: An assisted approach based on ballots English 0 0
Wiki scaffolding: Helping organizations to set up wikis English 0 0
Wiki4EAM: using hybrid wikis for enterprise architecture management Florian Matthes
Christian Neubert
English 0 0
WikiLit: Collecting the Wiki and Wikipedia Literature Phoebe Ayers
Reid Priedhorsky
Wiki
Wikipedia
Research literature
Literature database
English 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. 1 0
Wikiotics: the interactive language instruction Wiki Ian Sullivan
James R. Garrison
Matthew Curinga
Wikiotics
Collaborative authorship
Ductus
Interactive media
Language education
Structured wiki
Wiki
English 0 0
Wikipedia category visualization using radial layout Robert P. Biuk-Aghai
Felix Hon Hou Cheang
Wikipedia
Category
Information visualization
Radial layout
Wiki
English 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. 0 0
Wikipedia world map: method and application of map-like wiki visualization Cheong-Iao Pang
Robert P. Biuk-Aghai
Wikipedia
Category
Information visualization
Semantic coverage
English 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. 0 0