The Dress of a Best-Seller: a Visual Analysis of Graphic Features in Italian best-seller Front Covers in the year 2022

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dc.contributor.advisor Cesiri, Daniela it_IT
dc.contributor.author Cibin, Mariangela <1999> it_IT
dc.date.accessioned 2023-06-17 it_IT
dc.date.accessioned 2023-11-08T14:56:00Z
dc.date.issued 2023-07-14 it_IT
dc.identifier.uri http://hdl.handle.net/10579/24330
dc.description.abstract In the field of discourse analysis, the importance of book covers as semiotic resources in communication has long been disregarded. This paper suggests that book covers, like the text within the book, are not only rich in semantic possibilities but also governed by visual grammatical structures that have a role in tempting the possible consumer. Using the theoretical framework of visual communication, fifty covers of the most-sold Italian best-sellers in the year 2022 have been analysed to unravel the potential characteristics that might have major role in the purchase process. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Mariangela Cibin, 2023 it_IT
dc.title The Dress of a Best-Seller: a Visual Analysis of Graphic Features in Italian best-seller Front Covers in the year 2022 it_IT
dc.title.alternative The Dress of a Best-Seller: a Visual Analysis of Graphic Features in Italian best-seller Front Covers in the year 2022 it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Scienze del linguaggio it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Studi Linguistici e Culturali Comparati it_IT
dc.description.academicyear 2022/2023_sessione estiva_10-luglio-23 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 876791 it_IT
dc.subject.miur L-LIN/12 LINGUA E TRADUZIONE - LINGUA INGLESE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.subject.language INGLESE it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Mariangela Cibin (876791@stud.unive.it), 2023-06-17 it_IT
dc.provenance.plagiarycheck None it_IT


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