TY - GEN
T1 - A data-driven study of view duration on YouTube
AU - Park, Minsu
AU - Naaman, Mor
AU - Berger, Jonah
N1 - Funding Information:
We thank Oded Nov and the anonymous reviewers for their helpful feedback. This work is supported by a Google Social Interactions grant with additional support from AOL and NSF CAREER 1446374.
Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:84979590844
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 651
EP - 654
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -