Social TV and the social soundtrack: Significance of second screen interaction during television viewing

Partha Mukherjee, Bernard J. Jansen

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

14 Scopus citations

Abstract

The presence of social networks and mobile technology in form of secondary screens used in conjunction with television plays a significant role in the shift from traditional television to social television (TV). In this research, we investigate user interactions with secondary screens during live and non-live transmission of TV programs. We further explore the role of handheld devices in this second screen interaction. We perform statistical tests on more than 418,000 tweets from second screens for three popular TV shows. The results identify significant differences in the social element of second screen usage whilst the show is on air versus after the live broadcast, with the usage of handheld devices differing significantly in terms of the number of tweets during live telecast of TV shows. Desktop devices as second screens are also significant mediums for communication. This research identifies the change in users' interaction habits in terms of information sharing and interaction for TV broadcasts via the presence of a computing device as a second screen.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 7th International Conference, SBP 2014, Proceedings
PublisherSpringer Verlag
Pages317-324
Number of pages8
ISBN (Print)9783319055787
DOIs
StatePublished - 2014
Event7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014 - Washington, DC, United States
Duration: Apr 1 2014Apr 4 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8393 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014
Country/TerritoryUnited States
CityWashington, DC
Period4/1/144/4/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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