Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership

Adiya Abisheva, Venkata Rama Kiran Garimella, David Garcia, Ingmar Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

34 Citations (Scopus)

Abstract

By combining multiple social media datasets, it is possible to gain insight into each dataset that goes beyond what could be obtained with either individually. In this paper we combine user-centric data from Twitter with video-centric data from YouTube to build a rich picture of who watches and shares what on YouTube. We study 87K Twitter users, 5.6 million YouTube videos and 15 million video sharing events from user-, video- and sharing-event-centric perspectives. We show that features of Twitter users correlate with YouTube features and sharing-related features. For example, urban users are quicker to share than rural users. We find a superlinear relationship between initial Twitter shares and the final amounts of views. We discover that Twitter activity metrics play more role in video popularity than mere amount of followers. We also reveal the existence of correlated behavior concerning the time between video creation and sharing within certain timescales, showing the time onset for a coherent response, and the time limit after which collective responses are extremely unlikely. Response times depend on the category of the video, suggesting Twitter video sharing is highly dependent on the video content. To the best of our knowledge, this is the first large-scale study combining YouTube and Twitter data, and it reveals novel, detailed insights into who watches (and shares) what on YouTube, and when.

Original languageEnglish
Title of host publicationWSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining
PublisherAssociation for Computing Machinery
Pages593-602
Number of pages10
ISBN (Print)9781450323512
DOIs
Publication statusPublished - 1 Jan 2014
Event7th ACM International Conference on Web Search and Data Mining, WSDM 2014 - New York, NY, United States
Duration: 24 Feb 201428 Feb 2014

Other

Other7th ACM International Conference on Web Search and Data Mining, WSDM 2014
CountryUnited States
CityNew York, NY
Period24/2/1428/2/14

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Keywords

  • audience analysis
  • twitter
  • video recommendation
  • youtube

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Abisheva, A., Garimella, V. R. K., Garcia, D., & Weber, I. (2014). Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. In WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining (pp. 593-602). Association for Computing Machinery. https://doi.org/10.1145/2556195.2566588

Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. / Abisheva, Adiya; Garimella, Venkata Rama Kiran; Garcia, David; Weber, Ingmar.

WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2014. p. 593-602.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abisheva, A, Garimella, VRK, Garcia, D & Weber, I 2014, Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. in WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, pp. 593-602, 7th ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, United States, 24/2/14. https://doi.org/10.1145/2556195.2566588
Abisheva A, Garimella VRK, Garcia D, Weber I. Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. In WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery. 2014. p. 593-602 https://doi.org/10.1145/2556195.2566588
Abisheva, Adiya ; Garimella, Venkata Rama Kiran ; Garcia, David ; Weber, Ingmar. / Who watches (and shares) what on YouTube? And when? Using Twitter to understand YouTube viewership. WSDM 2014 - Proceedings of the 7th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 2014. pp. 593-602
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