We have developed a filtering service for an on-line news channel. In this domain, both content-based and collaborative filtering proved difficult to apply. Our solution was make extensive use of user involvement. In particular, we use the information gathered when users send tips about news articles to their friends. The paper describes the types of user involvement that our system allows, the techniques used for user modelling, and how these are used to generate relevant user-adaptive behaviour.