SuggestBot: using intelligent task routing to help people find work in Wikipedia

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SuggestBot: using intelligent task routing to help people find work in Wikipedia
Authors: Daniel Regis Cosley, Dan Frankowski, Loren Terveen, John Riedl [edit item]
Citation: IUI '07 Proceedings of the 12th international conference on Intelligent user interfaces  : 32-41. 2007.
Publication type: Conference paper
Peer-reviewed: Yes
Database(s):
DOI: 10.1145/1216295.1216309.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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SuggestBot: using intelligent task routing to help people find work in Wikipedia is a publication by Daniel Regis Cosley, Dan Frankowski, Loren Terveen, John Riedl.


[edit] Abstract

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

[edit] Research questions

"Said communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate more.We present SuggestBot, software that performs intelligent task routing (matching people with tasks) in Wikipedia. SuggestBot uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks."

Research details

Topics: Other antecedents of participation, Collaboration software [edit item]
Domains: Computer science [edit item]
Theory type: Analysis, Design and action [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: Cross-sectional [edit item]
Unit of analysis: N/A [edit item]
Wikipedia data extraction: Live Wikipedia [edit item]
Wikipedia page type: Article, User [edit item]
Wikipedia language: Not specified [edit item]

[edit] Conclusion

"SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research."

[edit] Comments

""SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles." p. 32"


Further notes[edit]

Facts about "SuggestBot: using intelligent task routing to help people find work in Wikipedia"RDF feed
AbstractMember-maintained communities ask their usMember-maintained communities ask their users to perform tasks the community needs. From Slashdot, to {IMDb}, to Wikipedia, groups with diverse interests create community-maintained artifacts of lasting value {(CALV)} that support the group's main purpose and provide value to others. Said communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate {more.We} present {SuggestBot}, software that performs intelligent task routing (matching people with tasks) in Wikipedia. {SuggestBot} uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks. {SuggestBot's} intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.challenges and opportunities for research.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
Comments"SuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles." p. 32
ConclusionSuggestBot's intelligent task routing incrSuggestBot's intelligent task routing increases the number of edits by roughly four times compared to suggesting random articles. Our contributions are: 1) demonstrating the value of intelligent task routing in a real deployment; 2) showing how to do intelligent task routing; and 3) sharing our experience of deploying a tool in Wikipedia, which offered both challenges and opportunities for research.challenges and opportunities for research.
Data sourceWikipedia pages +
Doi10.1145/1216295.1216309 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22SuggestBot%3A%2Busing%2Bintelligent%2Btask%2Brouting%2Bto%2Bhelp%2Bpeople%2Bfind%2Bwork%2Bin%2BWikipedia%22 +
Has authorDaniel Regis Cosley +, Dan Frankowski +, Loren Terveen + and John Riedl +
Has domainComputer science +
Has topicOther antecedents of participation + and Collaboration software +
Pages32-41 +
Peer reviewedYes +
Publication typeConference paper +
Published inIUI '07 Proceedings of the 12th international conference on Intelligent user interfaces +
Research designStatistical analysis +
Research questionsSaid communities don't help members find wSaid communities don't help members find work to do, or do so without regard to individual preferences, such as Slashdot assigning meta-moderation randomly. Yet social science theory suggests that reducing the cost and increasing the personal value of contribution would motivate members to participate more.We present SuggestBot, software that performs intelligent task routing (matching people with tasks) in Wikipedia. SuggestBot uses broadly applicable strategies of text analysis, collaborative filtering, and hyperlink following to recommend tasks.nd hyperlink following to recommend tasks.
Revid10,953 +
TheoriesUndetermined
Theory typeAnalysis + and Design and action +
TitleSuggestBot: using intelligent task routing to help people find work in Wikipedia
Unit of analysisN/A +
Urlhttp://dl.acm.org/citation.cfm?id=1216295.1216309 +
Wikipedia coverageMain topic +
Wikipedia data extractionLive Wikipedia +
Wikipedia languageNot specified +
Wikipedia page typeArticle + and User +
Year2007 +