Monthly Archives: July 2014

Network Institute end of year presentation

On Friday the fourth of July we presented the outcomes of our SIRUP project at the Network Institute end of year presentation.  Central to our presentation were  the results of the testing of the theoretical model and the three preliminary studies (complexity, familiarity, and conflict). If you have missed our presentation or would like to take another look at it, you can check out our presentation here: Network Institute SIRUP end of year presentation.

Testing the theoretical model

For the SIRUP project we conducted a total of three preliminary studies in order to try to identify successful indicators for complexity, familiarity, and conflict. In addition to the measures for these three factors, we included measures to enable us to test the theoretical model we developed based on the work of Daniel E. Berlyne and David Sylvia (see Figure 1).

Figure 1. SIRUP theoretical model

SIRUP theoretical model

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Preliminary study 3: Conflict

In the third preliminary study of SIRUP we tried to identify indicators that predict the perceived conflict of a television program. In the current context, conflict refers to incongruency in peoples’ evaluation of a program. During this project we work with broadcasting data from BBC’s ViSTA-TV project. Based on the available data from this project and external public sources, we identified two possible indicators for conflict (see Figure 1):

  • Variance (SD) in IMDB user ratings
  • Variance (SD) in BBC user ratings

Figure 1. Testing the selected indicators for conflict

SIRUP Preliminary study 3, Conflict - Indicator testing

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Preliminary study 2: Familiarity

In the second preliminary study of SIRUP we tried to identify indicators that predict the perceived familiarity of a television program. During this project we work with broadcasting data from BBC’s ViSTA-TV project. Based on the available data from this project and external public sources, we identified five possible indicators for familiarity (see Figure 1):

  • Number of BBC viewers
  • Number of Google results
  • Number of Facebook likes
  • Number of Twitter references
  • IMDB user ratings

Figure 1. Testing the selected indicators for familiarity

SIRUP Preliminary study 2, Familiarity - Indicator testing

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Preliminary study 1: Complexity

In the first preliminary study of SIRUP we tried to identify indicators that predict the perceived complexity of a television program. During this project we work with broadcasting data from BBC’s ViSTA-TV project. Based on the available data from this project and the work of Daniel E. Berlyne, we identified three possible indicators for complexity (see Figure 1):

  • Number of credits (people involved in the production of a program)
  • Number of actors
  • Number of categories (amount of formats and genres of a program)

Figure 1. Testing the selected indicators for complexity

SIRUP Preliminary study 1, Complexity - Indicator testing

Continue reading Preliminary study 1: Complexity