Browse wiki

Jump to: navigation, search
The diffusion of a task recommendation system to facilitate contributions to an online community
Abstract This paper studies the diffusion of {SuggeThis paper studies the diffusion of {SuggestBot}, an intelligent task recommendation system that helps people find articles to edit in Wikipedia. We investigate factors that predict who adopts {SuggestBot} and its impact on adopters' future contributions to this online community. Analyzing records of participants' activities in Wikipedia, we found that both individual characteristics and social ties influence adoption. Specially, we found that highly involved contributors were more likely to adopt {SuggestBot;} interpersonal exposure to innovation, cohesion, and tie homophily all substantially increased the likelihood of adoption. However, connections to prominent, high-status contributors did not influence adoption. Finally, although the {SuggestBot} innovation saw limited distribution, adopters made significantly more contributions to Wikipedia after adoption than nonadopter counterparts in the comparison group.pter counterparts in the comparison group.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Conclusion Analyzing records of participants' activitAnalyzing records of participants' activities in Wikipedia, we found that both individual characteristics and social ties influence adoption. Specially, we found that highly involved contributors were more likely to adopt SuggestBot; interpersonal exposure to innovation, cohesion, and tie homophily all substantially increased the likelihood of adoption. However, connections to prominent, high-status contributors did not influence adoption. Finally, although the SuggestBot innovation saw limited distribution, adopters made significantly more contributions to Wikipedia after adoption than nonadopter counterparts in the comparison group.pter counterparts in the comparison group.
Data source Wikipedia pages  +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22The%2Bdiffusion%2Bof%2Ba%2Btask%2Brecommendation%2Bsystem%2Bto%2Bfacilitate%2Bcontributions%2Bto%2Ban%2Bonline%2Bcommunity%22  +
Has author Y. Connie Yuan + , Daniel Regis Cosley + , Howard T. Welser + , Ling Xia + , Geri Gay +
Has domain Computer science + , Information systems +
Has topic Other antecedents of participation + , Collaboration software +
Issue 1  +
Month October  +
Pages 32-59  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in Journal of Computer-Mediated Communication +
Research design Statistical analysis  +
Research questions This paper studies the diffusion of SuggesThis paper studies the diffusion of SuggestBot, an intelligent task recommendation system that helps people find articles to edit in Wikipedia. We investigate factors that predict who adopts SuggestBot and its impact on adopters' future contributions to this online community.re contributions to this online community.
Revid 10,972  +
Theories Building on the theory of collective actioBuilding on the theory of collective action (Olson, 1965, Marwell & Oliver, 1993), SuggestBot uses a strategy called “intelligent task routing” to reduce a person's cost of finding articles to work on by recommending articles that both need attention and that are similar to articles that person has edited in the past3. Such articles are likely to be close to a person's interests, making it easier for them to contribute. following Burke and Reitzes's (1991) identity theory of commitment, when commitment to a group is reinforced with a clearly assigned role, commitment to a role identity can further motivate engagement in activities that are associated with the role of a highly committed member (p.242) Monge and Contractor (2003) summarize two main lines of reasoning that support the theory of homophily, including Byrne's (1971) similarity-attraction hypothesis and Turner's (1987) theory of self-categorization. The similarity-attraction hypothesis predicts that people are more likely to interact with those who share similar traits. The theory of self-categorization proposes that people tend to categorize themselves and others in terms of race, gender, age, education, interests, and so on.der, age, education, interests, and so on.
Theory type Analysis  + , Explanation  +
Title The diffusion of a task recommendation system to facilitate contributions to an online community
Unit of analysis User  +
Url http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.2009.01491.x/full  +
Volume 15  +
Wikipedia coverage Case  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language Not specified  +
Wikipedia page type User:talk  +
Year 2009  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:40  +
Categories Other antecedents of participation  + , Collaboration software  + , Computer science  + , Information systems  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:31:41  +
hide properties that link here 
  No properties link to this page.
 

 

Enter the name of the page to start browsing from.