Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/181478
Title: Gialli book covers and their impact on the popularity of Italian crime and thriller novels
Author: Münchau, Robert Helmut
Advisor: Batikas, Michail
Keywords: Visual analytics
Machine Learning
Book cover design
Audience Targeting
Defense Date: 15-Jan-2025
Abstract: Using state-of-the-art computer vision algorithms, our research analyzes Goodreads book covers to assess how visual elements influence book popularity across genres, countries, and genders. It provides publishers with targeted cover design recommendations in an increasingly competitive, digital book market. Our research found that book covers significantly influence reader behavior and a book’s popularity. Four analyses revealed that book cover typography signals genres and attracts audiences, gender norms and stereotypes impact cover design and market success, yellow covers in Italian crime novels enhance cultural appeal publishers can leverage, and combining engaging cover designs with impactful reviews further elevates a book’s popularity.
URI: http://hdl.handle.net/10362/181478
Designation: A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics
Appears in Collections:NSBE: Nova SBE - MA Dissertations



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