"Can you believe [1:21]?!": Content and Time-Based Reference Patterns in Video Comments
"Can you believe [1:21]?!": Content and Time-Based Reference Patterns in Video Comments
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“你能相信[1:21]吗？！”：视频评论中的内容和基于时间的参考模式
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
S. Fels
中科院分区：
文献类型：
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作者：
M. Yarmand;Dongwook Yoon;Samuel Dodson;Ido Roll;S. Fels
随着视频变得越来越普遍，基于视频的评论也越来越普遍。为了使评论情境化，人们通常在视频中引用特定的音频/视觉内容。然而，文献福尔斯没有解释人们所指的视频内容的类型、他们如何建立参考和识别参考、视频特性（例如，类型）影响引用行为，以及引用如何影响社会参与。我们提出了一个分类的视频参考所指类型和时间特异性。使用我们的分类法，我们分析了2.5K引用，其中包括从公开YouTube评论中收集的引用和时间戳。我们发现：1）人们比时间点更频繁地参考视频的间隔，2）视觉实体比声音更频繁地被参考，以及3）具有引用的评论更有可能接收到回复，但不是更多的“喜欢”。我们讨论了需要在原位解引用用户界面，说明设计概念的类型化引用功能，并提供了一个数据集，为今后的研究。
As videos become increasingly ubiquitous, so is video-based commenting. To contextualize comments, people often reference specific audio/visual content within video. However, the literature falls short of explaining the types of video content people refer to, how they establish references and identify referents, how video characteristics (e.g., genre) impact referencing behaviors, and how references impact social engagement. We present a taxonomy for classifying video references by referent type and temporal specificity. Using our taxonomy, we analyzed 2.5K references with quotations and timestamps collected from public YouTube comments. We found: 1) people reference intervals of video more frequently than time-points, 2) visual entities are referenced more often than sounds, and 3) comments with quotes are more likely to receive replies but not more "likes". We discuss the need for in-situ dereferencing user interfaces, illustrate design concepts for typed referencing features, and provide a dataset for future studies.