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#IUseTwitterBecause: content analytic study of a trending topic in Twitter

Muhterem Dindar (Learning and Educational Technology Research Unit, University of Oulu, Oulu, Finland)
Nihal Dulkadir Yaman (Department of Computer Education and Instructional Technology, Faculty of Education, Anadolu University, Eskisehir, Turkey)

Information Technology & People

ISSN: 0959-3845

Article publication date: 5 February 2018

1375

Abstract

Purpose

The purpose of this paper is to propose a robust framework for assessing motivations to use Twitter. Drawing on previous studies, diffusion of innovations, unified theory of acceptance and use of technology, and uses and gratifications frameworks were incorporated to capture the variety in Twitter gratifications.

Design/methodology/approach

This study explored the motivations to use Twitter through data mining and content analysis of #IUseTwitterBecause trending topic in Turkey. The sample was consisted of 4,465 tweets posted by 3,794 unique Twitter persona.

Findings

Findings revealed 13 distinct Twitter gratifications which were grouped under four main categories: content, process, social and technology. Process gratifications were found to be the strongest motives for using Twitter whereas content gratifications were the weakest. The current findings indicated that Turkish users engage with Twitter mostly for self-expression, escapism, and social interaction. Moreover, the study found a novel campaign gratification for using Twitter solely to make political or social agenda visible in the society.

Originality/value

The current study extends the previous literature on motivations in using social networking services from both analytical and methodological perspectives. The naturally occurring data and relatively large sample size in this study provides a deeper look into social media gratifications and yields more generalizable findings. Besides, this study contributes to the alleviation of conceptual confusions among the past social media gratification studies.

Keywords

Acknowledgements

The authors would like to thank the editors and reviewers for their contributive comments. Preliminary findings of the current manuscript were presented as an abstract at ICITS 2016 Conference.

Citation

Dindar, M. and Dulkadir Yaman, N. (2018), "#IUseTwitterBecause: content analytic study of a trending topic in Twitter", Information Technology & People, Vol. 31 No. 1, pp. 256-277. https://doi.org/10.1108/ITP-02-2017-0029

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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