Replication Data for: Taboo and Collaborative Knowledge Production: Evidence from Wikipedia

By definition, people are reticent or even unwilling to talk about taboo subjects. Because subjects like sexuality, health, and violence are taboo in most cultures, important information on each can be difficult to obtain. Are peer produced knowledge bases like Wikipedia a promising approach for providing people with information on taboo subjects? With its reliance on volunteers who might also be averse to taboo, can the peer production model be relied on to produce high-quality information on taboo subjects? In this paper, we seek to understand the role of taboo in volunteer-produced knowledge bases. We do so by developing a novel computational approach to identify taboo subjects and by using this method to identify a set of articles on taboo subjects in English Wikipedia. We find that articles on taboo subjects are more popular than non-taboo articles and that they are frequently subject to vandalism. Despite frequent attacks, we also find that taboo articles are higher quality. We hypothesize that societal attitudes will lead contributors to taboo subjects to seek to be less identifiable. Although our results are consistent with this proposal in several ways, we surprisingly find that contributors make themselves more identifiable in others.