Publication statistics

Pub. period:2007-2011
Pub. count:5
Number of co-authors:8



Co-authors

Number of publications with 3 favourite co-authors:

Loren Terveen:4
Reid Priedhorsky:2
Thomas Erickson:1

 

 

Productive colleagues

Katherine Panciera's 3 most productive colleagues in number of publications:

Loren Terveen:69
John Riedl:61
Thomas Erickson:53
 
 
 

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Katherine Panciera

 

Publications by Katherine Panciera (bibliography)

 what's this?
2011
 
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Panciera, Katherine, Masli, Mikhil and Terveen, Loren (2011): "How should I go from ___ to ___ without getting killed?": motivation and benefits in open collaboration. In: Proceedings of the 2011 International Symposium on Wikis and Open Collaboration 2011. pp. 183-192. Available online

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.

© All rights reserved Panciera et al. and/or ACM Press

 
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Panciera, Katherine (2011): User lifecycles in cyclopath: a survey of users. In: Proceedings of the 2011 iConference 2011. pp. 741-742. Available online

To be online, for most people, means to be part of some online communities, but the moment you visit a website, you are beginning your user lifecycle with that site. Previous quantitative work has shown that the early stages of the user lifecycle are the most important. We asked 400 users of the Cyclopath geowiki to complete a survey asking, among other things, about why they chose to register and what their first experiences on the site were. The responses allow us to think more carefully about the difficult barrier of registration and how this may be impacting the user lifecycles on Cyclopath and other online communities.

© All rights reserved Panciera and/or ACM Press

2010
 
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Panciera, Katherine, Priedhorsky, Reid, Erickson, Thomas and Terveen, Loren (2010): Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 1917-1926. Available online

Online communities produce rich behavioral datasets, e.g., Usenet news conversations, Wikipedia edits, and Facebook friend networks. Analysis of such datasets yields important insights (like the "long tail" of user participation) and suggests novel design interventions (like targeting users with personalized opportunities and work requests). However, certain key user data typically are unavailable, specifically viewing, pre-registration, and non-logged-in activity. The absence of data makes some questions hard to answer; access to it can strengthen, extend, or cast doubt on previous results. We report on analysis of user behavior in Cyclopath, a geographic wiki and route-finder for bicyclists. With access to viewing and non-logged-in activity data, we were able to: (a) replicate and extend prior work on user lifecycles in Wikipedia, (b) bring to light some pre-registration activity, thus testing for the presence of "educational lurking," and (c) demonstrate the locality of geographic activity and how editing and viewing are geographically correlated.

© All rights reserved Panciera et al. and/or their publisher

2009
 
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Panciera, Katherine, Halfaker, Aaron and Terveen, Loren (2009): Wikipedians are born, not made: a study of power editors on Wikipedia. In: GROUP09 - International Conference on Supporting Group Work 2009. pp. 51-60. Available online

Open content web sites depend on users to produce information of value. Wikipedia is the largest and most well-known such site. Previous work has shown that a small fraction of editors -- Wikipedians -- do most of the work and produce most of the value. Other work has offered conjectures about how Wikipedians differ from other editors and how Wikipedians change over time. We quantify and test these conjectures. Our key findings include: Wikipedians' edits last longer; Wikipedians invoke community norms more often to justify their edits; on many dimensions of activity, Wikipedians start intensely, tail off a little, then maintain a relatively high level of activity over the course of their career. Finally, we show that the amount of work done by Wikipedians and non-Wikipedians differs significantly from their very first day. Our results suggest a design opportunity: customizing the initial user experience to improve retention and channel new users' intense energy.

© All rights reserved Panciera et al. and/or their publisher

 Cited in the following chapter:

Social Computing: [/encyclopedia/social_computing.html]


 
 Cited in the following chapter:

Social Computing: [/encyclopedia/social_computing.html]


 
2007
 
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Priedhorsky, Reid, Chen, Jilin, Lam, Shyong (Tony) K., Panciera, Katherine, Terveen, Loren and Riedl, John (2007): Creating, destroying, and restoring value in wikipedia. In: GROUP07: International Conference on Supporting Group Work 2007. pp. 259-268. Available online

Wikipedia's brilliance and curse is that any user can edit any of the encyclopedia entries. We introduce the notion of the impact of an edit, measured by the number of times the edited version is viewed. Using several datasets, including recent logs of all article views, we show that an overwhelming majority of the viewed words were written by frequent editors and that this majority is increasing. Similarly, using the same impact measure, we show that the probability of a typical article view being damaged is small but increasing, and we present empirically grounded classes of damage. Finally, we make policy recommendations for Wikipedia and other wikis in light of these findings.

© All rights reserved Priedhorsky et al. and/or ACM Press

 Cited in the following chapter:

Social Computing: [/encyclopedia/social_computing.html]


 
 Cited in the following chapter:

Social Computing: [/encyclopedia/social_computing.html]


 
 
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