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International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction

SBP 2015: Social Computing, Behavioral-Cultural Modeling, and Prediction pp 375–380Cite as

Analyzing Second Screen Based Social Soundtrack of TV Viewers from Diverse Cultural Settings

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9021))

Abstract

The presence of social networks and computing device in form of secondary screens used in conjunction with television plays a significant role in the shift from traditional television to social television (sTV). In this research, we explore the overall secondary screen usage in terms of four conversation patterns each over different cultural social soundtrack related to different TV shows. We process more than 469,000 tweets from second screens for four popular TV shows from four different countries. The ANOVA test results identify significant differences in overall usage of conversational patterns among viewers for TV broadcast across diverse cultures using second screens.

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References

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Authors and Affiliations

  1. College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA

    Partha Mukherjee & Bernard J. Jansen

Authors
  1. Partha Mukherjee
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  2. Bernard J. Jansen
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Corresponding author

Correspondence to Partha Mukherjee .

Editor information

Editors and Affiliations

  1. University of Arkansas, Little Rock, Arkansas, USA

    Nitin Agarwal

  2. Technicolor Research, Los Altos, California, USA

    Kevin Xu

  3. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Nathaniel Osgood

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© 2015 Springer International Publishing Switzerland

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Mukherjee, P., Jansen, B.J. (2015). Analyzing Second Screen Based Social Soundtrack of TV Viewers from Diverse Cultural Settings. In: Agarwal, N., Xu, K., Osgood, N. (eds) Social Computing, Behavioral-Cultural Modeling, and Prediction. SBP 2015. Lecture Notes in Computer Science(), vol 9021. Springer, Cham. https://doi.org/10.1007/978-3-319-16268-3_46

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  • DOI: https://doi.org/10.1007/978-3-319-16268-3_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16267-6

  • Online ISBN: 978-3-319-16268-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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