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abstract

Identifying and Characterizing Sleeping Beauties on YouTube

Published:27 February 2016Publication History

ABSTRACT

The generally accepted notion about popularity dynamics of user generated contents (e.g., tweets, videos) is that such contents attain their peak popularity within first few days and then gradually fade into oblivion. However, analyzing more than 350K videos on YouTube, we find that more than 10% of them obtain their peak popularity after at least one year from being uploaded. We term such videos as Sleeping Beauties and observe that these videos engage users more compared to other videos on YouTube. We further observe that sleeping beauties can retain their popularity to a greater extent following their peak popularity compared to other videos. We believe that recognizing such videos will not only benefit the advertisers, but also the designers of recommendation systems who seek to maximize user satisfaction. Through this interactive poster, we bring the presence and characteristics of sleeping beauties in front of the research community.

References

  1. X. Cheng, C. Dale, and J. Liu. Statistics and social network of youtube videos. IEEE Transactions, 2008.Google ScholarGoogle Scholar
  2. R. Schneider. Survey of peaks/valleys identification in time series, 2011.Google ScholarGoogle Scholar
  3. A. F. J. van Raan. Sleeping beauties in science. 2004.Google ScholarGoogle Scholar
  4. H. Yu, L. Xie, and S. Sanner. The lifecyle of a youtube video: Phases, content and popularity. In ICWSM, 2015.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
    February 2016
    549 pages
    ISBN:9781450339506
    DOI:10.1145/2818052

    Copyright © 2016 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 February 2016

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