移动个人直播服务中的社交媒体粘性

Jia Zhao, M. Ma, Wei Gong, Lei Zhang, Yifei Zhu, Jiangchuan Liu
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引用次数: 5

摘要

自2016年以来,移动个人直播(MPL)市场出现了爆炸式增长。MPL服务之所以蓬勃发展,不仅是因为它们通过自发的、个性化的主播介绍流行的直播内容,而且还因为它们被刻意设计成创新的社交网络服务(SNS)平台。后者是MPL区别于传统直播服务的一个非常重要的方面。本文研究了大型MPL服务“映客”(注册用户超过2亿,日活跃用户1500万)在中国的社交网络。通过分析我们抓取的数据集和映客app的特点,我们发现映客的社交媒体粘性来自三个方面:关注者-关注者模式、基于虚拟礼物的激励机制以及主播与观众之间的多角度互动。首先,映客引入了跟随者-跟随者模式,而不是传统的广播者-观众模式,映客的每一个用户都可以是一个广播者。这使得MPL与传统的直播服务和SNS平台都有一些不同的模式。第二,映客将虚拟礼物赠送和用户排名作为激励机制。我们的测量结果表明,这种机制确实可以增强用户粘性。此外,映客在直播过程中融入了多种功能,增强交互性。我们在本文中获得的见解对现有和未来的设计都具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social media stickiness in Mobile Personal Livestreaming service
There has been explosive growth in Mobile Personal Livestreaming (MPL) market since 2016. MPL services are booming not only because they introduce the popular live content by spontaneous and personalized broadcasters, but also because they are deliberately designed to be the innovative social networking service (SNS) platforms. The latter is a very important aspect that distinguishes MPL from the traditional livestreaming services. In this paper, we study the social networking of a large scale MPL service “Inke” (with more than 200 million registered users, 15 million daily active users) in China. By analyzing the dataset we crawl and the features of Inke app, we show that the social media stickiness of Inke comes from three aspects: the follower-followee model, the virtual-gift-based incentive mechanism, and the multi-perspective interactivity between broadcasters and viewers. First, Inke introduces the follower-followee model rather than the traditional broadcaster-viewer model, and every user in Inke can be a broadcaster. This makes MPL have some different patterns from both the traditional livestreaming serives and SNS platforms. Second, Inke use virtual gift giving and user ranking as its incentive mechanism. Our measurement results show that this mechanism can indeed enhance user stickiness. Furthermore, Inke incorporates a variety of features during broadcasting to strengthen interactivity. The insight we gain in this paper has important implications for both existing and future designs.
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