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

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.

[1]  Philip Johnson,et al.  Uses and Gratifications of Twitter: An Examination of User Motives and Satisfaction of Twitter Use , 2009 .

[2]  Mary Beth Rosson,et al.  How and why people Twitter: the role that micro-blogging plays in informal communication at work , 2009, GROUP.

[3]  Susannah Fox,et al.  Twitter and status updating , 2009 .

[4]  Balachander Krishnamurthy,et al.  A few chirps about twitter , 2008, WOSN '08.

[5]  V. Gueorguieva,et al.  Voters, MySpace, and YouTube , 2008 .

[6]  David Meyer,et al.  The role of perceived enjoyment and social norm in the adoption of technology with network externalities , 2008, Eur. J. Inf. Syst..

[7]  Eszter Hargittai,et al.  Whose Space? Differences Among Users and Non-Users of Social Network Sites , 2007, J. Comput. Mediat. Commun..

[8]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[9]  Taejin Jung,et al.  Motivations and Self-Presentation Strategies on Korean-Based "Cyworld" Weblog Format Personal Homepages , 2007, Cyberpsychology Behav. Soc. Netw..

[10]  Philip A. Houle,et al.  Perceived network externalities and communication technology acceptance , 2007, Eur. J. Inf. Syst..

[11]  Alek Tarkowski,et al.  Rzeczpospolita blogów [Republic of Blog]: Examining Polish Bloggers Through Content Analysis , 2006, J. Comput. Mediat. Commun..

[12]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[13]  Thomas F. Stafford,et al.  What Americans like about being online , 2004, CACM.

[14]  Zizi Papacharissi The Self Online: The Utility of Personal Home Pages , 2002 .

[15]  Zhou He,et al.  Perceived Characteristics, Perceived Needs, and Perceived Popularity , 2002, Commun. Res..

[16]  Myung-Hyun Kang,et al.  Digital Cable: Exploring Factors Associated With Early Adoption , 2002 .

[17]  Louis Leung,et al.  College Student Motives for Chatting on ICQ , 2001, New Media Soc..

[18]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[19]  Alan M. Rubin,et al.  Utility of Videocassette Recorders , 1987 .

[20]  Joey Reagan,et al.  Classifying adoptors and nonadoptors of four technologies using political activity, media use and demographic variables , 1987 .

[21]  William H. Dutton,et al.  Diffusion and Social Impacts of Personal Computers , 1987 .

[22]  B. Joseph,et al.  Concurrent validity of a measure of innovative cognitive style , 1984 .

[23]  E. Katz,et al.  The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage Annual Reviews of Communication Research Volume III. , 1975 .

[24]  E. Rogers Diffusion of Innovations , 1964 .

[25]  Tao Zhou,et al.  Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory , 2009, Comput. Hum. Behav..

[26]  V. Gueorguieva,et al.  Voters, MySpace, and YouTube: The Impact of Alternative Communication Channels on the Election Cycle and Beyond. , 2006 .

[27]  Dan Li WHY DO YOU BLOG: A USES-AND-GRATIFICATIONS INQUIRY INTO BLOGGERS' MOTIVATIONS , 2005 .

[28]  Linda Bennett,et al.  A review of factors that influence the diffusion of innovation when structuring a faculty training program , 2003, Internet High. Educ..

[29]  Carolyn A. Lin Exploring personal computer adoption dynamics , 1998 .

[30]  Michael Lynn James,et al.  An exploratory study of the perceived benefits of electronic bulletin board use and their impact on other communication activities , 1992 .

[31]  C. Shapiro,et al.  Network Externalities, Competition, and Compatibility , 1985 .

[32]  James D. Hollan,et al.  Proceedings of the 38th Hawaii International Conference on System Sciences- 2005 Digital Photos as Conversational Anchors , 2022 .