He says, she says: conflict and coordination in Wikipedia

From WikiLit
Jump to: navigation, search
Publication (help)
He says, she says: conflict and coordination in Wikipedia
Authors: Aniket Kittur, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi [edit item]
Citation: CHI '07 Proceedings of the SIGCHI conference on Human factors in computing systems  : 453-462. 2007 April-May April 28-May 3. San Jose, CA, United states. Association for Computing Machinery.
Publication type: Conference paper
Peer-reviewed: Yes
Database(s):
DOI: 10.1145/1240624.1240698.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
Search
Article: Google Scholar BASE PubMed
Other scholarly wikis: AcaWiki Brede Wiki WikiPapers
Web search: Bing Google Yahoo!Google PDF
Other:
Services
Format: BibTeX
He says, she says: conflict and coordination in Wikipedia is a publication by Aniket Kittur, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi.


[edit] Abstract

Wikipedia, a wiki-based encyclopedia, has become one of the most successful experiments in collaborative knowledge building on the Internet. As Wikipedia continues to grow, the potential for conflict and the need for coordination increase as well. This article examines the growth of such non-direct work and describes the development of tools to characterize conflict and coordination costs in Wikipedia. The results may inform the design of new collaborative knowledge systems.

[edit] Research questions

"In this paper, we present an overall characterization of conflict and coordination in the development of Wikipedia. We present three novel contributions: First we demonstrate that at the global level, conflict and coordination costs in Wikipedia are growing. Specifically, direct work (on articles) is decreasing, while indirect work such as discussion, procedure, user coordination, and maintenance activity (such as reverts and anti-vandalism) is increasing. Second, we build a characterization model for conflict at the article level. Using human-labeled controversy tags as ground truth, we show that a machine learner has high accuracy in identifying the amount of conflict in an article. A validation survey confirms the generality of the model even on articles that have never been tagged as controversial. The model also identifies a number of interesting conflict-relevant metrics. Third, we build a user conflict model to investigate the motivation and sources of conflicts through a visualization tool, Revert Graph. A number of test cases show that the tool has great potential to discover and investigate disputes between users."

Research details

Topics: Policies and governance [edit item]
Domains: Information systems [edit item]
Theory type: Analysis [edit item]
Wikipedia coverage: Main topic [edit item]
Theories: "Undetermined" [edit item]
Research design: Statistical analysis [edit item]
Data source: Wikipedia pages [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: Edit [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article, Article:talk, User, User:talk [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

"We show that, even though Wikipedia continues to grow exponentially, the rate of creation of new articles and content is decreasing, while levels of maintenance and indirect work are increasing. These results provide the first comprehensive view of this phenomenon, and reflect the entire history of all Wikipedia articles rather than a small sampling of pages. These data are consistent with the findings from studies of group work systems which suggest that, to keep functioning, a group must engage in both task-focused and group maintenance activity [4][10]. Continued growth in Wikipedia is not maintained merely by an increase in articles and quality content; the sophisticated procedures developed for coordinating users and dealing with conflict are vital for a community where people may not agree on everything. This suggests that despite the many unique qualities of Wikipedia – such as its size, low participation costs, and “swarm” intelligence – the results found here may have broad application to other systems in which maintenance activities occur, or where multiple viewpoints interact, including many group work systems [10][13]. Furthermore, the characterization of the growth of coordination costs in Wikipedia provides insights into how large knowledge systems such as collaborative hypertext and organizational memory systems evolve [1][18]. In the second part of this article we showed how conflict can be predicted from article level content.This analysis demonstrates the possibility of developing automatic detection and prediction models of complex phenomena such as controversies in large scale social collaborative systems."

[edit] Comments

""Even though Wikipedia continues to grow exponentially, the rate of creation of new articles and content is decreasing, while levels of maintenance and indirect work are increasing." p. 460"


Further notes[edit]

Facts about "He says, she says: conflict and coordination in Wikipedia"RDF feed
AbstractWikipedia, a wiki-based encyclopedia, has Wikipedia, a wiki-based encyclopedia, has become one of the most successful experiments in collaborative knowledge building on the Internet. As Wikipedia continues to grow, the potential for conflict and the need for coordination increase as well. This article examines the growth of such non-direct work and describes the development of tools to characterize conflict and coordination costs in Wikipedia. The results may inform the design of new collaborative knowledge systems.gn of new collaborative knowledge systems.
Added by wikilit teamAdded on initial load +
Collected data time dimensionLongitudinal +
Comments"Even though Wikipedia continues to grow exponentially, the rate

of creation of new articles and content is decreasing, while

levels of maintenance and indirect work are increasing." p. 460
ConclusionWe show that, even though Wikipedia continWe show that, even though Wikipedia continues to grow exponentially, the rate

of creation of new articles and content is decreasing, while levels of maintenance and indirect work are increasing. These results provide the first comprehensive view of this phenomenon, and reflect the entire history of all Wikipedia articles rather than a small sampling of pages. These data are consistent with the findings from studies of group work systems which suggest that, to keep functioning, a group must engage in both task-focused and group maintenance activity [4][10]. Continued growth in Wikipedia is not maintained merely by an increase in articles and quality content; the sophisticated procedures developed for coordinating users and dealing with conflict are vital for a community where people may not agree on everything. This suggests that despite the many unique qualities of Wikipedia – such as its size, low participation costs, and “swarm” intelligence – the results found here may have broad application to other systems in which maintenance activities occur, or where multiple viewpoints interact, including many group work systems [10][13]. Furthermore, the characterization of the growth of coordination costs in Wikipedia provides insights into how large knowledge systems such as collaborative hypertext and organizational memory systems evolve [1][18]. In the second part of this article we showed how conflict can be predicted from article level content.This analysis demonstrates the possibility of developing automatic detection and prediction models of complex phenomena such as controversies in large scale social collaborative systems. large scale social

collaborative systems.
Conference locationSan Jose, CA, United states +
Data sourceWikipedia pages +
DatesApril 28-May 3 +
Doi10.1145/1240624.1240698 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22He%2Bsays%2C%2Bshe%2Bsays%3A%2Bconflict%2Band%2Bcoordination%2Bin%2BWikipedia%22 +
Has authorAniket Kittur +, Bongwon Suh +, Bryan A. Pendleton + and Ed H. Chi +
Has domainInformation systems +
Has topicPolicies and governance +
MonthApril-May +
Pages453-462 +
Peer reviewedYes +
Publication typeConference paper +
Published inCHI '07 Proceedings of the SIGCHI conference on Human factors in computing systems +
PublisherAssociation for Computing Machinery +
Research designStatistical analysis +
Research questionsIn this paper, we present an overall charaIn this paper, we present an overall characterization of

conflict and coordination in the development of Wikipedia. We present three novel contributions: First we demonstrate that at the global level, conflict and coordination costs in Wikipedia are growing. Specifically, direct work (on articles) is decreasing, while indirect work such as discussion, procedure, user coordination, and maintenance activity (such as reverts and anti-vandalism) is increasing. Second, we build a characterization model for conflict at the article level. Using human-labeled controversy tags as ground truth, we show that a machine learner has high accuracy in identifying the amount of conflict in an article. A validation survey confirms the generality of the model even on articles that have never been tagged as controversial. The model also identifies a number of interesting conflict-relevant metrics. Third, we build a user conflict model to investigate the motivation and sources of conflicts through a visualization tool, Revert Graph. A number of test cases show that the tool has great potential to discover and investigate disputes between users.er and investigate disputes

between users.
Revid10,802 +
TheoriesUndetermined
Theory typeAnalysis +
TitleHe says, she says: conflict and coordination in Wikipedia
Unit of analysisEdit +
Urlhttp://dl.acm.org/citation.cfm?id=1240698 +
Wikipedia coverageMain topic +
Wikipedia data extractionDump +
Wikipedia languageEnglish +
Wikipedia page typeArticle +, Article:talk +, User + and User:talk +
Year2007 +