Article
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The Nonboundary of Style in Fashion Instagram: A Media Ecology Case Study on Sustainable Digital Space-Time
Version 1
: Received: 24 December 2019 / Approved: 25 December 2019 / Online: 25 December 2019 (03:21:29 CET)
How to cite: Suh, S. The Nonboundary of Style in Fashion Instagram: A Media Ecology Case Study on Sustainable Digital Space-Time. Preprints 2019, 2019120330 Suh, S. The Nonboundary of Style in Fashion Instagram: A Media Ecology Case Study on Sustainable Digital Space-Time. Preprints 2019, 2019120330
Abstract
This study investigated how fashion is expressed on social media platforms from a media ecology perspective of sustainable digital space-time, as society evolves into a digital ecosystem. Media ecology concerns how the media environment transforms human experience and impacts society and culture. A theoretical review of media ecology was conducted, and the Instagram account of global fashion influencer Susanna Lau (@susiebubble) was analyzed as a case study. In total, 300 fashion-related images were collected out of 5,817 uploaded to Lau’s Instagram between May 2012 and June 2019. These were analyzed—alongside their titles, content, hashtags, and commentaries—for visual phenomena conveying everyday divisions between spatiality and temporality, public and private, real and virtual, and geography and culture, which demonstrate ambiguous boundaries. The analysis revealed that the images reflect nuances of digital time and space as they emerge in social media, and represent a nonboundary of style across the binaries of work and leisure, public and private, real and virtual, and geography and culture—signifying a sustainable digital lifestyle. These findings illustrate how our changing daily lives are visualized through fashion on a sustainable digital platform, and suggest ongoing research into the practical impact of technological advances on fashion.
Keywords
digital space-time; fashion Instagram; media ecology; nonboundary of style; social media
Subject
Social Sciences, Media studies
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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