Who Is Earning? Understanding and Modeling the Virtual Gifts Behavior of Users in Live Streaming Economy

Wei Tu, Chen Yan, Yiping Yan, Xuan Ding, Lifeng Sun
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引用次数: 19

Abstract

Recently, live streaming is gaining increasing en- thusiasm, like Twitch, Inke and YouTube. Online streamers can interact with viewers in real time in live platforms with audio, video and text. The virtual gift is one of the most important business models for these live streaming platforms. The viewers can purchase and send virtual gifts to the streamers during the live process. These behaviors have great market potential and economic value, but little previous research paid attention about this. In this paper, we measured the basic information and economic behavior of users on a large representative live streaming platform (Inke1). To be specific, we discovered 20% of viewers contributed 97% of all gifts, and 77% of viewers only present for top three streamers. Especially, we also found that most gifting behaviors broke out in short periods when barrage increased, and gifting behaviors could be inspired by others due to competitiveness. Moreover, we investigated the correlation of various factors, proposed a decision tree based prediction model to infer the future revenue of the streamers. The result will bring benefit for both industrial entrepreneurs (for improving the design of the system operating mechanism of live platforms) and researchers (for interesting problems in personalized recommendation, etc.).
谁在赚钱?流媒体经济中用户虚拟礼物行为的理解与建模
最近,像Twitch, Inke和YouTube这样的直播越来越受欢迎。在线流媒体可以通过音频、视频和文本在直播平台上与观众实时互动。虚拟礼物是这些直播平台最重要的商业模式之一。观众可以在直播过程中购买和发送虚拟礼物给主播。这些行为具有很大的市场潜力和经济价值,但以往的研究很少关注。在本文中,我们测量了大型代表性直播平台(Inke1)上用户的基本信息和经济行为。具体来说,我们发现20%的观众贡献了97%的礼物,77%的观众只给前三名主播送礼物。特别是,我们还发现大多数的送礼行为都是在弹幕增加的短时间内爆发的,并且由于竞争的原因,送礼行为可能会受到他人的启发。此外,我们还研究了各种因素的相关性,提出了一个基于决策树的预测模型来推断主播的未来收入。研究结果对产业企业家(对直播平台系统运行机制的改进设计)和研究者(对个性化推荐等有趣问题的研究)都有好处。
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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