Twitter Users vs. Quitters: A Uses and Gratifications and Diffusion of Innovations Approach in Understanding the Role of Mobility in Microblogging

Constantinos K. Coursaris, Y. Yun, Jieun Sung
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引用次数: 30

Abstract

Twitter, the most popular microblogging service by the end of 2009, has gained much interest among Computer-Mediated Communication scholars and practitioners. As a new social medium, Twitter shows distinguished characteristics such as text-based posts of up to 140 characters delivered in real-time, and via multiple access modes including the Web, SMS, and mobile device applications. Interestingly, and in spite of an explosive growth in 2009, Twitter is also experiencing higher dropout rates compared to other social networking sites giving rise to the term Twitter Quitter. This study will examine which factors influence Twitter Quitters in their decision to discontinue Twitter’s use through the use of perceived motivations and innovation related constructs. Uses and Gratifications (UG) and Diffusion of Innovation theory (IDT) are employed to frame the theoretical background. Also, this study will offer support for the effects of mobile device usage to access Twitter on self-reported motivations and perceived outcomes of using Twitter. An online survey will be used to collect data from 300 undergraduate students at a large U.S. mid-western university. A Partial Least Squares (PLS)-based data analysis will be used to provide support for which constructs explain differences between Twitter users and Twitter quitters. Also, the influence of mobile device use on the continuance or discontinuance of Twitter will be examined. Implications for both theory and practice, as well as suggestions for further research will also be presented.
推特用户vs.退出者:利用、满足和创新扩散的方法来理解微博移动性的作用
作为2009年底最流行的微博服务,Twitter引起了计算机媒介传播学者和实践者的极大兴趣。作为一种新型的社交媒体,Twitter展现出了以文字为基础,通过网络、短信、移动应用程序等多种访问方式实时发送最多140个字符的帖子的特点。有趣的是,尽管Twitter在2009年实现了爆炸式增长,但与其他社交网站相比,Twitter的退出率也更高,这就产生了“Twitter退出者”一词。本研究将通过使用感知动机和创新相关结构来研究影响Twitter戒烟者决定停止使用Twitter的因素。使用与满足理论(UG)和创新扩散理论(IDT)构成了本文的理论背景。此外,本研究将为使用移动设备访问Twitter对使用Twitter的自我报告动机和感知结果的影响提供支持。一项在线调查将用于收集来自美国中西部一所大型大学的300名本科生的数据。基于偏最小二乘(PLS)的数据分析将用于为哪些结构解释Twitter用户和Twitter退出者之间的差异提供支持。此外,移动设备的使用对Twitter继续或停止的影响将被审查。本文也将提出对理论与实务的启示,以及进一步研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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