Comparative Evaluation of Cyber Migration Factors in the Current Social Media Landscape

Xiangyu Xiao, N. Caporusso
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引用次数: 6

Abstract

In the last decade, social media experienced a dramatic increase in terms of quantity and variety of available platforms, in addition to an exponential growth in the number of users. Recent reports show that social media have a total of almost 2.5 billion active users, that is, about 71% of Internet users have at least one account on social media. At the beginning of the social media era, the word "cyber Migration" emerged to represent and describe a new phenomenon: users switching between one social network platform to another. Several studies investigated the different reasons and factors behind cyber migration, and tried to identify patterns. In this paper, we analyze how the concept of cyber migration evolved over the last decade, and we evaluate whether the model can still be applied to nowadays' social media landscape. To this end, we use the push-pull-mooring framework, a well-known model in economics domain, to address the technological and human factors that affect switching behavior. Specifically, we investigate the dynamics of cyber migration in relation to the types of social network and digital media platforms (e.g., personal, professional, video sharing, and other categories).
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当前社交媒体环境下网络迁移因素的比较评估
在过去的十年中,除了用户数量呈指数级增长外,社交媒体在可用平台的数量和种类方面都经历了戏剧性的增长。最近的报告显示,社交媒体的活跃用户总数接近25亿,也就是说,约71%的互联网用户至少拥有一个社交媒体账户。在社交媒体时代之初,“网络迁移”一词的出现代表和描述了一种新现象:用户从一个社交网络平台切换到另一个社交网络平台。几项研究调查了网络迁移背后的不同原因和因素,并试图确定模式。在本文中,我们分析了网络迁移的概念在过去十年中是如何演变的,并评估了该模型是否仍然可以应用于当今的社交媒体环境。为此,我们使用推拉系泊框架这一经济学领域的知名模型来解决影响切换行为的技术和人为因素。具体来说,我们研究了与社交网络和数字媒体平台类型(如个人、专业、视频分享和其他类别)相关的网络迁移动态。
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