Reviewing journal literature chapter 3
Predicting New TV
Series Ratings from their Pilot Episode Scripts
Starling David Hunter1, Susan Smith2 & Ravi Chinta3 1
Business Administration Program, Carnegie Mellon University Qatar, Doha, Qatar
2 School of Mass Communication, American University of Sharjah, Sharjah, United
Arab Emirates 3 College of Business, Auburn University, Montgomery, Alabama,
USA Correspondence: Starling David Hunter, Business Administration Program,
Carnegie Mellon University, Doha, Qatar. E-mail: starling@andrew.cmu.edu
International Journal of English Linguistics; Vol. 6, No. 5;
2016
This paper discussing about how
the way to predicting the new tv series rating from their script. Specifically,
we refer to three recent studies that explain variation in box office revenues
using only variables that are known during the pre-production stages. In order
to investigate the aforementioned hypothesis, data were collected on the total
number of viewers of new prime-time, hour-long television series debuting
during six recently-completed broadcast seasons, the researcher identified a
total of 136 new, hour-long, dramatic series that debuted in prime-time as part
of the 2009-2014 television seasons. Six of these shows were eliminated from consideration
because they were (co-)produced with or produced by foreign television networks
and debuted in those countries before being seen on US network television. The results presented strongly
support our hypothesis that there should be a positive and significant
relationship between the size of the text network of the pilot episode of a new
series and the size of the initial audience of the series. Secondly, while our
model does explain a high proportion of the variance in initial audience size,
we should make clear the distinction between explaining variance with a model
constructed from a sample of shows from the past and using that model to
predict the audience size of shows currently appearing on network television.
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