This paper delivers a new Twitter content classification framework based 16 existing Twitter studies and a grounded theory analysis of a personal Twitter history. It expands the existing understanding of Twitter as a multifunction tool for personal, profession, commercial and phatic communications with a split level classification scheme that offers broad categorization and specific sub categories for deeper insight into the real world application of the service.
D. Karger, and D. Quan. Web Semantics: Science, Services and Agents on the World Wide Web, Selcted Papers from the International Semantic Web Conference, 2004 - ISWC, 2004, Hiroshima, Japan, 07-11 November 2004, 3 (2-3):
147-157(October 2005)