Beyond Canonical Texts: A Computational Analysis of Fanfiction
نویسندگان
چکیده
While much computational work on fiction has focused on works in the literary canon, user-created fanfiction presents a unique opportunity to study an ecosystem of literary production and consumption, embodying qualities both of large-scale literary data (55 billion tokens) and also a social network (with over 2 million users). We present several empirical analyses of this data in order to illustrate the range of affordances it presents to research in NLP, computational social science and the digital humanities. We find that fanfiction deprioritizes main protagonists in comparison to canonical texts, has a statistically significant difference in attention allocated to female characters, and offers a framework for developing models of reader reactions to stories.
منابع مشابه
Black Access and affiliation : The literacy and composition practices of English - language learners in an online fanfiction community ili
After reading J.R.R. Tolkien’s novels as a child, I had a difficult time leaving Middle Earth behind. There were so many plotlines and characters left unexplored that I began to write new stories using the characters and settings from Tolkien’s universe. At the time I was unaware that there were many children and adults across the United States who were enthusiastically producing similar works ...
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