A computational visual analysis of image design in social media

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ID Serval
serval:BIB_D32D3DAB8CE7
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
A computational visual analysis of image design in social media
Titre de la conférence
Proceedings of the 27th European Conference on Information Systems
Auteur(s)
Wulf Jochen, Mettler Tobias, Ludwig Stephan, Herhausen Dennis
Editeur
Association for Information Systems
Organisation
27th European Conference on Information Systems
Adresse
Stockholm University
ISBN
978-1-7336325-0-8
Statut éditorial
Publié
Date de publication
15/05/2019
Peer-reviewed
Oui
Série
ECIS 2019 Proceedings
Pages
1-16
Langue
anglais
Résumé
While user-generated images represent important information sources in IS in general and in social media in particular, there is little research that analyzes image design and its effects on virality. We introduce an innovative computational approach to extract image design characteristics that includes convolutional neural network-based image classification, a dimensionality reduction via principal component analysis, manual measurement validation, and a regression analysis. An analysis of 790,775 car images from 17 brands posted in 68 car model communities on a social media platform reveals several effects of product presentation on image virality that relate to the levels of utility refer- ence, experience reference, and visual detail. A comparison of economy cars and premium cars shows that car class moderates these image design effects. Our results contribute to the extant literature on brand communities and virality in social media. The proposed computational visual analysis method- ology may inform the study of other image-based IS.
Mots-clé
computational visual analysis, product communities, image analysis, social media, convolutional neural networks
Création de la notice
05/03/2019 9:56
Dernière modification de la notice
20/08/2019 16:53
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