This project explores how we can visually compare multiple newsgroups. We represent some of the implicit information about group communication that takes place within a newsgroup by tracking how much people respond to each others' comments, the frequency of supportive or angry words used, or the frequency with which people return to the group and post follow-up messages. Mapping this sort of information to visual characteristics such as size, shape, color, and nesting of objects will give each representation of a newsgroup a distinct visual appearance.