One way to strengthen the bond between popular applications and their online user communities is to integrate the applications with their communities, so users are able to observe and communicate with other users. The result of this integration is a Multiuser Online Application (MOA). The problem studied in this thesis is that MOA users and systems will be overloaded with information generated by large communities and complex applications. The solution investigated was to filter the amount of information delivered to users while attempting to preserve the benefits of dwelling in a MOA environment. This strategy was evaluated according to the amount of information it was capable of reducing and the effects as seen by MOA users. It was found that filtering could be used to substantially reduce the information exchanged by users while still providing users with the benefits of integrating application and community
