I study movie studio profit maximization based on an optimization of a political language in the dialogues. I explore the flexibility with which a rational firm slants language of its movies in order to get closer either to a Democratic or a Republican customer. Using computational linguistics I construct vectors of phrase frequency distribution based on a text of almost a decade of U.S. Congress transcripts and 457 randomly chosen movie subtitles. In order to measure distance between the phrase vectors I use chi square statistics and its Monte Carlo approximation. I find no evidence of political slant in movies neither in a movie studio comparison nor for a time-varying comparison of movies in different years. In addition I construct a slant index covering level of political language in a movie. Using the index I find no evidence of impact of political language on movie revenues.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:192685 |
Date | January 2013 |
Creators | Selep, Ján |
Contributors | Stroukal, Dominik, Dušek, Libor |
Publisher | Vysoká škola ekonomická v Praze |
Source Sets | Czech ETDs |
Language | English |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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