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Twitter Users vs. Quitters: A Uses and Gratifications and Diffusion of Innovations approach in understanding the role of mobility in microblogging

机译:Twitter用户与戒烟者:创新方法的用途和满足和扩散在了解流动性在微博中的作用

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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.
机译:Twitter是2009年底最受欢迎的微博服务,在计算机导介的沟通学者和从业者中获得了很多兴趣。作为一个新的社交媒介,Twitter显示了可见的特征,例如基于文本的帖子,最多可以实时交付140个字符,并通过包括Web,SMS和移动设备应用程序的多种访问模式。有趣的是,尽管2009年的爆炸性增长,Twitter也与其他社交网站相比,越来越高的辍学率,从而产生了Twitter Quitter。本研究将研究通过使用感知动机和创新相关构建,对其决定停止推特戒烟者影响哪些因素。使用和满足(UG)和创新理论(IDT)的扩散来框架理论背景。此外,本研究将提供支持移动设备使用对自我报告的动机的推特和使用Twitter的结果的影响。在线调查将用于收集来自美国中西部大学的300名本科生的数据。基于最小二乘(PLS)的数据分析将用于提供支持,该构建体解释推特用户和Twitter戒烟者之间的差异。此外,将研究移动设备对Twitter继续或停止的影响。对理论和实践的影响以及进一步研究的建议也将展示。

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