dc.description.abstract |
Collaborative knowledge building achieves better results than individual knowledge building essentially due to the triggering phenomenon taking place among the users in a collaborative setting.
Although the literature points to a few theories supporting the
existence of this phenomenon, yet these theories have never been
validated in real collaborative environments, thus questioning their
general prevalence. In this work, we provide a mechanized way
to observe the presence of triggering in knowledge building environments. We implement the method on the most-edited articles
of Wikipedia and show that it may help in discerning how the
existing knowledge leads to the inclusion of more knowledge in
these articles. The proposed technique may further be used in other
collaborative knowledge building settings as well. The insights obtained from the study will help the portal designers in building
portals enabling optimal triggering. |
en_US |