Contents

Style in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media

Park, Jaehyuk / Ciampaglia, Giovanni Luca / Ferrara, Emilio

DC Field Value Language
dc.contributor.authorPark, Jaehyuk-
dc.contributor.authorCiampaglia, Giovanni Luca-
dc.contributor.authorFerrara, Emilio-
dc.date.available2021-07-21T01:01:05Z-
dc.date.created2021-07-20-
dc.date.issued2016-02-27-
dc.identifier.urihttps://archives.kdischool.ac.kr/handle/11125/42317-
dc.identifier.uri10.1145/2818048.2820065-
dc.description.abstractFashion is a multi-billion dollar industry with social and economic implications worldwide. To gain popularity, brands want to be represented by the top popular models. As new faces are selected using stringent (and often criticized) aesthetic criteria, a priori predictions are made difficult by information cascades and other fundamental trend-setting mechanisms. However, the increasing usage of social media within and without the industry may be affecting this traditional system. We therefore seek to understand the ingredients of success of fashion models in the age of Instagram. Combining data from a comprehensive online fashion database and the popular mobile image-sharing platform, we apply a ma- chine learning framework to predict the tenure of a cohort of new faces for the 2015 Spring/Summer season throughout the subsequent 2015-16 Fall / Winter season. Our framework successfully predicts most of the new popular models who appeared in 2015. In particular, we find that a strong social media presence may be more important than being under contract with a top agency, or than the aesthetic standards sought after by the industry.-
dc.languageEnglish-
dc.publisherACM-
dc.relation.isPartOfProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing-
dc.titleStyle in the Age of Instagram: Predicting Success within the Fashion Industry using Social Media-
dc.typeConference-
dc.identifier.bibliographicCitationCSCW '16: Computer Supported Cooperative Work and Social Computing-
dc.description.journalClass1-
dc.citation.conferenceDate2016-02-27-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceSan Francisco California USA-
dc.citation.titleCSCW '16: Computer Supported Cooperative Work and Social Computing-
dc.contributor.affiliatedAuthorPark, Jaehyuk-
Files in This Item:
    There are no files associated with this item.

Click the button and follow the links to connect to the full text. (KDI CL members only)

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

상단으로 이동