Twitter content classification

Authors

  • Stephen Dann Australian National University

DOI:

https://doi.org/10.5210/fm.v15i12.2745

Keywords:

Twitter, content analysis, social media

Abstract

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

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Published

2010-11-24

How to Cite

Dann, S. (2010). Twitter content classification. First Monday, 15(12). https://doi.org/10.5210/fm.v15i12.2745