Moneyball for TV: A Model for Forecasting the Audience of New Dramatic Television Series

Author(s)

Starling Hunter, Carnegie Mellon University
Ravi Chinta, Nova Southeastern UniversityFollow
Susan Smith, American University of Sharjah
Awais Shamim, Carnegie Mellon University
Alya Bawazir

Document Type

Article

Publication Title

Studies in Media and Communication

ISSN

2325-808X

Publication Date

12-2016

Abstract/Excerpt

The specific objective of the present study is to develop and test an early-stage, empirical model for predicting the audience of new television series. We test our model on a sample of 107 new dramatic television series that debuted on one of the four major US television networks during the 2010-2014 seasons. In particular we examine the role of three previously untested predictors of the performance of new television shows, all of which can be known prior to the decision to greenlight the pilot script. Those three are the originality of the concept of the show, the track record of success of the show's creative team, and the size of the conceptual network created from the teleplay of the pilot episode.

DOI

https://doi.org/10.11114/smc.v4i2.1611

Volume

4

Issue

2

First Page

13

Last Page

22

NSUWorks Citation

Hunter, Starling; Chinta, Ravi; Smith, Susan; Shamim, Awais; and Bawazir, Alya, "Moneyball for TV: A Model for Forecasting the Audience of New Dramatic Television Series" (2016). HCBE Faculty Articles. 1060.
https://nsuworks.nova.edu/hcbe_facarticles/1060