Twitter content classification

  • Stephen Dann Australian National University
Keywords: Twitter, content analysis, social media


This paper delivers a new Twitter content classification framework based sixteen 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.

Author Biography

Stephen Dann, Australian National University
Senior Lecturer, Marketing, School of Management, Marketing & International Business, ANU College of Business & Economics | @stephendann
How to Cite
Dann, S. (2010). Twitter content classification. First Monday, 15(12).