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Data and Doctor Doom

An Empirical Approach To Transmedia Characters

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Éditeur :

Palgrave Macmillan


Paru le : 2024-02-01



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Description

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.
Pages
302 pages
Collection
n.c
Parution
2024-02-01
Marque
Palgrave Macmillan
EAN papier
9783031451720
EAN PDF
9783031451737
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
9134 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
52,74 €
EAN EPUB
9783031451737
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
15473 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
52,74 €

Mark Hibbett is head of research information systems at University of the Arts London, UK. He has spent thirty years working with research data in arts and science contexts and his current research focuses on transmedia character cohesion, particularly related to superheroes and children's humour comics.


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