The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding others online: reputation systems for social online spaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Wisdom of Crowds
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Temporal Analysis of the Wikigraph
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Computing trust from revision history
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Extracting trust from domain analysis: a case study on the wikipedia project
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Toward an epistemology of Wikipedia
Journal of the American Society for Information Science and Technology
Transparency and social responsibility issues for Wikipedia
Ethics and Information Technology
Factors affecting shapers of organizational wikis
Journal of the American Society for Information Science and Technology
Who does what: Collaboration patterns in the wikipedia and their impact on article quality
ACM Transactions on Management Information Systems (TMIS)
| Hi-index | 0.00 |
Wikipedia is fast becoming a key information source for manydespite criticism that it is unreliable and inaccurate. A number ofrecommendations have been made to sort the chaff from the wheat inWikipedia, among which is the idea of color-coding article segmentedits according to age (Cross, 2006). Using data collected as partof a wider study published in Nature, this articleexamines the distribution of errors throughout the life of a selectgroup of Wikipedia articles. The survival time of each error editin terms of the edit counts and days was calculated and thehypothesis that surviving material added by older edits is moretrustworthy was tested. Surprisingly, we find that roughly 20% oferrors can be attributed to surviving text added by the firstedit, which confirmed the existence of a first-mover effect(Viegas, Wattenberg, & Kushal, 2004) whereby material added byearly edits are less likely to be removed. We suggest that thesizable number of errors added by early edits is simply a result ofmore material being added near the beginning of the life of thearticle. Overall, the results do not provide support for the ideaof trusting surviving segments attributed to older edits becausesuch edits tend to add more material and hence contain more errorswhich do not seem to be offset by greater opportunities for errorcorrection by later edits. © 2008 Wiley Periodicals, Inc.