A Data-driven Study of View Duration on YouTube
March 28, 2016 Β· Declared Dead Β· π International Conference on Web and Social Media
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Authors
Minsu Park, Mor Naaman, Jonah Berger
arXiv ID
1603.08308
Category
cs.HC: Human-Computer Interaction
Citations
58
Venue
International Conference on Web and Social Media
Last Checked
3 months ago
Abstract
Video watching had emerged as one of the most frequent media activities on the Internet. Yet, little is known about how users watch online video. Using two distinct YouTube datasets, a set of random YouTube videos crawled from the Web and a set of videos watched by participants tracked by a Chrome extension, we examine whether and how indicators of collective preferences and reactions are associated with view duration of videos. We show that video view duration is positively associated with the video's view count, the number of likes per view, and the negative sentiment in the comments. These metrics and reactions have a significant predictive power over the duration the video is watched by individuals. Our findings provide a more precise understandings of user engagement with video content in social media beyond view count.
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