Reid Priedhorsky, Jilin Chen, Shyong (Tony) K. Lam,
Katherine Panciera, Loren Terveen, John Riedl. “Creating, Destroying,
and Restoring Value in Wikipedia”. In Proc. GROUP
2007.
- Acceptance rate: 28%
- Fulltext: PDF, ACM master. (Note: our
PDF contains one minor correction not in the ACM version.)
- Key contributions:
- This work was the first to compute the value of Wikipedia
edits and the impact of damage, using reader-based measures
rather than author-based ones, which created a much firmer foundation
for wiki research than was available previously.
- Discover who produces Wikipedia’s value: 1/10th of 1% of
editors contribute nearly half of its value, measured by words
read.
- Quantitatively categorize the different types of wiki damage.
- Measure the impact of damage (e.g., wiki vandalism): 42% of
Wikipedia vandalism is repaired essentially immediately (within one
estimated view).
Reid Priedhorsky, Benjamin Jordan, Loren Terveen.
“How a Personalized Geowiki Can Help Bicyclists Share Information More
Effectively”. Short paper. In Proc. WikiSym 2007.
- Acceptance rate: 50%
- Fulltext: PDF,
ACM master
- Key contributions:
- Formalize the notion of geowiki (an online map which allows
editing of all geographic features displayed and supports standard wiki
monitoring features) and introduce the notion of personalized
geowiki (a geowiki which can customize itself according to
individuals’ needs).
- Analyze the information needs of bicyclists and show that they need
an information resource which is comprehensive, up-to-date, and
personalized — properties met by a personalized geowiki.
- Show that the geowiki model is plausible: for example, 73% of
subjects were willing to spend at least five minutes correcting a map
error if the result would be available to other cyclists immediately,
but only 44% if availability would take six months.
Reid Priedhorsky and Loren Terveen. “The
Computational Geowiki: What, Why, and How”. In Proc. CSCW
2008.
- Honorable Mention in the conference Best Paper awards.
- Acceptance rate: 23%
- Fulltext: PDF,
ACM master
- Key contributions:
- Invent the notion of computational geowiki, a geowiki where
user contributions feed into an algorithm (in our case, route
finding).
- Present the design and implementation of a computational geowiki
(early Cyclopath), producing significant design innovations and solving
important implementation challenges.
- Show quantitatively that geowiki and computational geowiki features
form a powerful knowledge sharing tool in a representative domain,
bicycling, suggesting the general utility of geowikis and computational
geowikis.
Reid Priedhorsky, Mikhil Masli, and Loren Terveen.
“Eliciting and Focusing Geographic Volunteer Work”. In
Proc. CSCW 2010, forthcoming.
- Acceptance rate: 20%
- Fulltext: PDF
- Key contributions:
- Devise two techniques to elicit and focus user work in a geowiki or
similar system, one using familiarity to direct users to work
opportunities and another visually highlighting them.
- Show quantitatively the success of the techniques in eliciting work
and the nature of the distribution of work across users.
- Explain factors that contributed to the success of the techniques,
for example that certain types of work require users to be familiar with
the location of the work but others do not.
- Show that user work meaningfully benefits the community — in
particular, user work since Cyclopath went live has shortened the
average route in Cyclopath by 1 kilometer.