The textual information from title provides the video viewers the overview of the video contents. However, there has been less focus on the textual information from previous viewers’ comments. Comments which contain information such as the difficulty or the experienced benefits of the exercise can be another source of textual information. Those comments, Active Engagement, are not only the review of the contents but also the driver of viewership of other videos. In this paper, the amount of information in the title and Active Engagements are measured by word embeddings through text analysis. We further examine the effect of textual information on the view count and try to identify the feedback effect. Based on the findings, we provide the fitness content creators on YouTube and mobile fitness app developers with the guidelines on the management of the channel and the contents.
목차
Abstract Introduction Literature Review Viewer Engagement and Active Engagement on YouTube Textual Information on YouTube Theoretical Background Self-Efficacy and Exercise Self-Efficacy Search Cost Feedback Effect Data and Methods Measurement of TITLEINFO Measurement of AECOUNT Research Model Result Discussion and implication References
키워드
YouTubetext miningword embeddingnatural language processing (NLP)feedback effectengagementsearch costself-efficacy
저자
Byounghyuk Ahn [ Master Student Korea University ]
Jiye Baek [ Assistant Professor Korea University ]