Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos

Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
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拍打猫、摇头和奥利奥奶昔:了解 TikTok 短视频中的病毒式传播指标

DOI:
10.1145/3501247.3531551
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发表时间:
2022
期刊:
ACM Conference on Web Science
影响因子:
--
通讯作者:
Stringhini, Gianluca
Stringhini, Gianluca
中科院分区:
--
文献类型:
--
作者:
Ling, Chen;Blackburn, Jeremy;De Cristofaro, Emiliano;Stringhini, Gianluca

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短视频已成为年轻一代在线表达自我的主要媒体之一,从而成为塑造网络文化的驱动力。在这种背景下,TikTok成为一个平台,病毒视频往往首先发布。在本文中,我们研究了在TikTok上发布的短视频的哪些元素有助于其病毒式传播。我们采用混合方法的方法来开发一个码本,并确定重要的病毒特征。我们维斯三个研究假设进行了研究,即:1)视频内容,2)TikTok的推荐算法,以及3)视频创作者的受欢迎程度有助于病毒式传播。我们收集并标记了400个TikTok视频的数据集,并训练分类器,以帮助我们识别最影响病毒式传播的特征。虽然追随者的数量是最有力的预测因素,但特写和中镜头比例也起着至关重要的作用。视频的寿命、文本的存在和观点也是如此。我们的研究突出了病毒式和非病毒式TikTok视频的区别特征,为开发其他方法创造更具吸引力的在线内容奠定了基础,并主动识别可能接触大量受众的可能存在风险的内容。
Short videos have become one of the leading media used by younger generations to express themselves online and thus a driving force in shaping online culture. In this context, TikTok has emerged as a platform where viral videos are often posted first. In this paper, we study what elements of short videos posted on TikTok contribute to their virality. We apply a mixed-method approach to develop a codebook and identify important virality features. We do so vis-à-vis three research hypotheses; namely, that: 1) the video content, 2) TikTok’s recommendation algorithm, and 3) the popularity of the video creator contributes to virality.We collect and label a dataset of 400 TikTok videos and train classifiers to help us identify the features that influence virality the most. While the number of followers is the most powerful predictor, close-up and medium-shot scales also play an essential role. So does the lifespan of the video, the presence of text, and the point of view. Our research highlights the characteristics that distinguish viral from non-viral TikTok videos, laying the groundwork for developing additional approaches to create more engaging online content and proactively identify possibly risky content that is likely to reach a large audience.
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