Digital Fashion Values: AI Social Listening of Sociopolitical Consciousness

YeSeung Lee ()
Additional contact information
YeSeung Lee: University of Westminster

A chapter in Fashion Communication in the Digital Age, 2026, pp 301-313 from Springer

Abstract: Abstract Digital fashion communities are often perceived as radical challengers of mainstream fashion, embodying the ethos of ‘digital utopianism’ which views technology as a liberating force for decentralization and democracy. These communities are depicted as rejecting industry hierarchies and aligning with anti-consumerist principles. This empirical study investigates whether these communities truly embody such revolutionary ideals by evaluating social media evidence gathered through an AI social listening platform. Despite the lofty rhetoric, the findings reveal that the social media discourse of digital fashion communities frequently lacks depth, relying on superficial slogans and buzzwords. Their attitudes are neither radical nor revolutionary, primarily reinforcing existing fashion hierarchies and sustaining core capitalist and consumerist frameworks. This study calls for a critical reassessment of the perceived radicalism of digital fashion communities and emphasizes the importance of genuine debate and education.

Keywords: Digital fashion; Digital utopianism; Social media; AI social listening (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-99481-4_22

Ordering information: This item can be ordered from
http://www.springer.com/9783031994814

DOI: 10.1007/978-3-031-99481-4_22

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().