Imitation and Quality of Tags in Social BookmarkingSystems — Collective Intelligence Leading toFolksonomies

摘要

Social bookmarking platforms often allow users to see a list of tags that have been used previously for the webpage they are currently bookmark-ing, and from which they can select. In this paper, the authors analyze the influ-ences of this feature on the tag categorizations resulting from the collaborative tagging effort. The main research goal is to show how the interface design of social bookmarking systems can influence the quality of the collective output of their users. Findings from a joint research project with the largest Russian social bookmarking site BobrDobr.ru suggest that if social bookmarking systems al-low users to view the most popular tags, the overall variation of keywords used that are assigned to websites by all users decreases.