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Update: Data and Doctor Doom
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You can pre-order it now direct from Palgrave. For those unused to academic publishing, be prepared for a shock when you see how expensive it is! The idea is that LIBRARIES buy it in hardback (so if you know a friendly library please ask them!) but all being well there'll be a paperback version next year. Meanwhile, here's the BLURB:
"The empirically grounded method presented here adds a truly innovative and much-needed tool to the growing field of transmedia character studies. I hope it will give rise to many further studies. But of course, Doom had to be first! Highly recommended for students as well as researchers." - Stephan Packard, Professor of Popular Culture and Its Theories, University of Cologne, Germany
"A complete data-driven examination into what makes the universe’s greatest supervillain tick. Read it now! Doom demands nothing less!" - Ryan North, Author of Dinosaur Comics , The Unbeatable Squirrel Girl and The Fantastic Four
This book defines a straightforward way to analyse fictional characters through data. It shows how a data-led approach can produce rich analyses of characters, their surrounding storyworlds, and their authors across time and different types of media. It uses the Marvel Comics character Doctor Doom as its main case study, and demonstrates the advantages of this approach by comparing the results to those taken from a survey of fan attitudes. It also uses the methodology to analyse the differences between the American and British characters who share the name "Dennis The Menace". Finally, it offers a range of further uses for the tool. All datasets and tools are made available to download, so that other researchers can use the methodology and compare their own results to those generated in the book.
posted 27/1/2024 by Mark Hibbett
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