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.
L. Barkhuus, B. Brown, M. Bell, S. Sherwood, M. Hall, and M. Chalmers. CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, page 497--506. New York, NY, USA, ACM, (2008)
M. Böhringer, and S. Barnes. Proceedings of the 17th European Conference on Information Systems (ECIS), Verona, Italy, June 08-10, 2009, page in press. (2009)