Creating, Destroying, and Restoring Value in Wikipedia

@inproceedings{citeulike:2622829, abstract = {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 frequent edi- tors dominate what people see when they visit Wikipedia, and that this domination is increasing.∗ Similarly, using the same impact measure, we show that the probability of a typ- ical 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.}, address = {Sanibel Island, FLorida, USA}, author = {Priedhorsky, Reid and Chen, Jilin and Shyong and Panciera, Katherine and Terveen, Loren and Riedl, John }, booktitle = {GROUP'07}, citeulike-article-id = {2622829}, keywords = {statistics, vandalism, wikipedia}, month = {November}, posted-at = {2008-04-02 10:42:08}, priority = {0}, title = {Creating, Destroying, and Restoring Value in Wikipedia}, year = {2007} }

TY - CONF ID - citeulike:2622829 L3 - citeulike-article-id:2622829 TI - Creating, Destroying, and Restoring Value in Wikipedia T2 - GROUP'07 AD - Sanibel Island, FLorida, USA N2 - 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 frequent edi- tors dominate what people see when they visit Wikipedia, and that this domination is increasing.∗ Similarly, using the same impact measure, we show that the probability of a typ- ical 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. KW - statistics KW - vandalism KW - wikipedia AU - Priedhorsky, Reid AU - Chen, Jilin AU - Shyong AU - Panciera, Katherine AU - Terveen, Loren AU - Riedl, John PY - 2007/11/2--4/ ER -