Crowd-Powered TV Viewing Rates: Measuring Relevancy between Tweets and TV Programs

  • Shoko Wakamiya
  • Ryong Lee
  • Kazutoshi Sumiya
Conference paper

DOI: 10.1007/978-3-642-20244-5_37

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6637)
Cite this paper as:
Wakamiya S., Lee R., Sumiya K. (2011) Crowd-Powered TV Viewing Rates: Measuring Relevancy between Tweets and TV Programs. In: Xu J., Yu G., Zhou S., Unland R. (eds) Database Systems for Adanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6637. Springer, Berlin, Heidelberg

Abstract

Due to the advance of many social networking sites, social analytics by aggregating and analyzing crowds’ life logs are attracting a great deal of attention. In the meantime, there is an interesting trend that people watching TVs are also writing Twitter messages pertaining to their opinions. With the utilization of bigger and broader crowds over Twitter, surveying massive audiences’ lifestyles will be an important aspect of exploitation of crowd-sourced data. In this paper, for better TV viewing rates in the light of the evolving TV lifestyles beyond home environments, we propose a TV rating method by means of Twitter where we can easily find crowd voices relative to TV watching. In the experiment, we describe our exploratory survey to exploit a large amount of Twitter messages to populate TV programs and on-line video sites.

Keywords

TV Viewing Rates Micro-blogging Social Network 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shoko Wakamiya
    • 1
  • Ryong Lee
    • 2
  • Kazutoshi Sumiya
    • 2
  1. 1.Graduate School of Human Science and EnvironmentUniversity of HyogoJapan
  2. 2.School of Human Science and EnvironmentUniversity of HyogoJapan

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