Data and doctor doom: an empirical approach to transmedia characters
Material type:
- 9783031451720
- 741.5944 MAR
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Indian Institute of Management LRC General Stacks | Non-fiction | 741.5944 MAR (Browse shelf(Opens below)) | Available | 008266 |
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741.2 BAS 30 days of creativity: | 741.5092 LAX Tunnel of time: an autobiography | 741.56973 ADA How to fail at almost everything and still win big: kind of the story of my life | 741.5944 MAR Data and doctor doom: an empirical approach to transmedia characters | 741.5954 OM Krishna tales | 780.92 TRI Notes of a dream: the authorized biography of A.R. Rahman | 783.90954 GUL Jiya jale: the stories of songs |
Table of contents:
Table of contents (6 chapters)
Front Matter
Pages i-xvi
Download chapter PDF
Introduction
Mark Hibbett
Pages 1-7
Methodology
Mark Hibbett
Pages 9-49
The Corpus and Sample
Mark Hibbett
Pages 51-108
Analysis
Mark Hibbett
Pages 109-182
A Tale Of Two Menaces
Mark Hibbett
Pages 183-203
Discussion
Mark Hibbett
Pages 205-229
Back Matter
Pages 231-302
[https://link.springer.com/book/10.1007/978-3-031-45173-7]
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.
(https://link.springer.com/book/10.1007/978-3-031-45173-7)
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