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ERIC Number: EJ1127472
Record Type: Journal
Publication Date: 2015-Dec
Abstractor: As Provided
Reference Count: 29
A Network Text Analysis of David Ayer's "Fury"
Hunter, Starling David; Smith, Susan
Advances in Language and Literary Studies, v6 n6 p29-38 Dec 2015
Network Text Analysis (NTA) involves the creation of networks of words and/or concepts from linguistic data. Its key insight is that the position of words and concepts in a text network provides vital clues to the central and underlying themes of the text as a whole. Recent research has relied on inductive approaches to identify these themes. In this study we demonstrate a deductive approach that we apply to the screenplay of the 2014 World War II-era film "Fury." Specifically, we first use genre expectations theory to establish prior expectations as to the key themes associated with war films. We then empirically test whether words and concepts associated with the most influentially-positioned nodes are consistent with themes common to the war-film genre. As predicted, we find that words and concepts associated with the least constrained nodes in the text network were significantly more likely to be associated with the war, action, and biography genres and significantly less likely to be associated with the mystery, science-fiction, fantasy, and film-noir genres.
Descriptors: Network Analysis, Content Analysis, Semantics, Fiction, Films, Film Study, Scripts, Literary Genres, Expectation, Word Frequency, World History, War, Coding, Morphemes
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