03839nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172050001600186072001600202072001500218072002300233072001600256072001300272100008300285245011800368250001800486264007900504300006500583336002600648337002600674338003600700347002400736490006200760505029600822520174101118650006302859650002802922650002702950650002802977710003403005773002603039776003603065776003603101776003603137830006903173856004603242912001403288912001403302999001703316978-3-031-45173-7DE-He21320251030111409.0cr nn 008mamaa240201s2024    sz |    s    |||| 0|eng d  a97830314517379978-3-031-45173-77 a10.1007/978-3-031-45173-72doi 4aP94.6-.65 4aPN6700-6790 7aJFD2bicssc 7aFX2bicssc 7aSOC0520002bisacsh 7aJBCT2thema 7aX2thema1 aHibbett, Mark.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97032010aData and Doctor Doomh[electronic resource] :bAn Empirical Approach To Transmedia Characters /cby Mark Hibbett.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Palgrave Macmillan,c2024.  aXVI, 302 p. 65 illus., 45 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aPalgrave Studies in Comics and Graphic Novels,x2634-63890 a1.Introduction -- 2. Methodology -- 3.The corpus and sample -- 4.Analysis -- 5.A Tale Of Two Menaces -- 6.Discussion -- Bibliography -- Appendix One: Using the unified model of transmedia character coherence -- Appendix Two: Doctor Doom Corpus -- Appendix Three: Example of signifier survey.  a"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. 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. . 0aComic books, strips, etc.xInfluence on mass media.967272 0aPopular Culture.95760514aComics Studies.96727424aPopular Culture.9576052 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303145172008iPrinted edition:z978303145174408iPrinted edition:z9783031451751 0aPalgrave Studies in Comics and Graphic Novels,x2634-638997032140uhttps://doi.org/10.1007/978-3-031-45173-7  aZDB-2-LCM  aZDB-2-SXL  c57412d57412