Characterizing and modelling popularity of user-generated videos
Performance Evaluation
YouTube around the world: geographic popularity of videos
Proceedings of the 21st international conference on World Wide Web
A media-based social interactions analysis procedure
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Demystifying porn 2.0: a look into a major adult video streaming website
Proceedings of the 2013 conference on Internet measurement conference
Two decades of internet video streaming: A retrospective view
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
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The sharing and re-sharing of videos on social sites, blogs e-mail, and other means has given rise to the phenomenon of viral videos – videos that become popular through internet sharing. In this paper we seek to better understand viral videos on You Tube by analyzing sharing and its relationship to video popularity using 1.5 million You Tube videos. The social ness of a video is quantified by classifying the referrer sources for video views as social (e.g. an emailed link) or non-social (e.g. a link from related videos). By segmenting videos according to their fraction of social views, we find that highly social videos behave differently than less social videos. For example, the highly social videos rise to, and fall from, their peak popularity more quickly than less social videos. We also find that not all highly social videos become popular, and not all popular videos are highly social. And, despite their ability to generate large volumes of views over a short period of time, only 21% of the most popular videos (in terms of 30-day views) can be classified as viral. The observations made here lay the ground work for future work related to the creation of classification and predictive models for online videos.