ABSTRACT The quality of user-generated content over World Wide Web media is a matter of serious concern for both creators and users. To measure the quality of content, webometric techniques are commonly used. In recent times, bibliometric techniques have been introduced to good effect for evaluation of the quality of user-generated content, which were originally used for scholarly data. However, the application of bibliometric techniques to evaluate the quality of YouTube content is limited to h-index and g-index considering only views. This paper advocates for and demonstrates the adaptation of existing Bibliometric indices including h-index, g-index and M-index exploiting both views and comments and proposes three indices hvc, gvc and mvc for YouTube video channel ranking. The empirical results prove that the proposed indices using views along with the comments outperform the existing approaches on a real-world dataset of YouTube.

中文翻译：

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您的评论很重要：结合观众的评论，使用文献计量学对在线视频内容进行排名

摘要 万维网媒体上用户生成内容的质量是创作者和用户都非常关注的问题。为了衡量内容的质量，通常使用网络测量技术。近年来，文献计量技术已被引入，在评估用户生成内容的质量方面取得了良好的效果，这些技术最初用于学术数据。然而，应用文献计量技术来评估 YouTube 内容的质量仅限于仅考虑观看次数的 h-index 和 g-index。本文提倡并展示了对现有文献计量指标的适应性，包括 h-index、g-index 和 M-index，同时利用视图和评论，并提出了三个指标 hvc、gvc 和 mvc 用于 YouTube 视频频道排名。