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Media type:
E-Article
Title:
A Data-Driven Study of View Duration on YouTube
Contributor:
Park, Minsu;
Naaman, Mor;
Berger, Jonah
imprint:
Association for the Advancement of Artificial Intelligence (AAAI), 2021
Published in:Proceedings of the International AAAI Conference on Web and Social Media
Language:
Not determined
DOI:
10.1609/icwsm.v10i1.14781
ISSN:
2334-0770;
2162-3449
Origination:
Footnote:
Description:
<jats:p>
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.
</jats:p>