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The GOLEM project develops models to analyze the evolution of fiction by examining millions of stories and reader interactions across various digital platforms. Utilizing machine learning and statistical methods, it aims to understand how cultural traits in storytelling spread and influence readers' cognitive and emoti…
The “Graphs and Ontologies for Literary Evolution Models” (GOLEM) project will create statistically robust models explaining how fiction evolves, based on the analysis of millions of stories and the effects they have on readers.
This is the first time in history that this kind of data is available on such a large scale, thanks to the fact that readers all over the world use digital and social media to share fictional stories and to comment on them, e.g. on fanfiction websites or on publishing pl…
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