Referencing in YouTube Knowledge Communication Videos

Haeeun Kim, D. Gática-Pérez
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Abstract

In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a new search engine, YouTube has accepted criticisms of being a major conduit of misinformation. However, it is often neglected that there exist communities on YouTube that aim to produce credible and informative content - usually falling under the educational category. One way to characterize this valuable content is to find references entailed to each video. While such citation practices function as a voluntary gatekeeping culture within the community, how they are actually done varies and remains unquestioned. Our study aims to investigate common citation practices in major knowledge communication channels on YouTube. After investigating 44 videos manually sampled from YouTube, we characterized two common referencing methods, namely bibliographies and in-video citations. We then selected 129 referenced resources, assessed and categorized their availability as being immediate, conditional, and absent. After relating the observed referencing methods to the characteristics of the knowledge communication community, we show that the usability of references could vary depending on viewers’ user profiles. Furthermore, we witnessed the use of rich-text technologies that can enrich the usability of online video resources. Finally, we discuss design implications for the platform to have a standardized referencing convention that can promote information credibility and improve user experience, especially valuable for the young audiences who tend to watch this content.
参考YouTube知识传播视频
近年来,人们普遍担心社交媒体上的错误信息和仇恨内容正在破坏社会。作为最具影响力的社交媒体之一,YouTube实际上是一个新的搜索引擎,它接受了被批评为错误信息的主要渠道。然而,人们常常忽略的是,YouTube上有一些旨在制作可信和信息丰富的内容的社区——通常属于教育类别。描述这些有价值内容的一种方法是找到每个视频的引用。虽然这样的引用实践在社区内起到了一种自愿把关的文化的作用,但它们实际上是如何完成的却各不相同,并且仍然是毋庸置疑的。本研究旨在调查YouTube主要知识传播渠道的常见引用行为。通过对44个YouTube视频的人工采样,我们分析了两种常见的引用方法,即参考书目和视频内引用。然后,我们选择了129个参考资源,评估并将其可用性分为即时、有条件和缺席。在将观察到的引用方法与知识传播社区的特征联系起来之后,我们发现参考文献的可用性可能会因观众的用户概况而变化。此外,我们还见证了富文本技术的使用,它可以丰富在线视频资源的可用性。最后,我们讨论了平台的设计含义,以具有标准化的参考约定,可以提高信息的可信度和改善用户体验,特别是对倾向于观看这些内容的年轻受众有价值。
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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