Global cities, creative industries and their representation on social media: A micro-data analysis of Twitter data on the fashion industry

Patrizia Casadei and Neil Lee
Additional contact information
Patrizia Casadei: SPRU, Science Policy Research Unit, University of Sussex Business School, UK

Environment and Planning A, 2020, vol. 52, issue 6, 1195-1220

Abstract: The creative and cultural industries form an important part of many urban economies, and the fashion industries are one of the exemplar creative industries. Because fashion is based on intangibles such as branding and reputation, it tends to have a two-way relationship with cities: urban areas market themselves through their fashion industry, while the fashion industry draws heavily on the representation of place. In this paper we investigate this interlinked relationship between the fashion industry and place in four of the major cities of global fashion – London, New York, Milan and Paris – using data from the social media platform Twitter. To do this, we draw upon a variety of computer-aided text analysis techniques – including cluster, correspondence and specificity analyses – to examine almost 100,000 tweets collected during the Spring–Summer fashion weeks of February and March 2018. We find considerable diversity in how these cities are represented. Milan and Paris are seen in terms of national fashion houses, artisanal production and traditional institutions such as galleries and exhibitions. New York is focused on media and entertainment, independent designers and a ‘buzzy’ social life. London is portrayed in the most diverse ways, with events, shopping, education, social movements, political issues and the royal family all prominent. In each case, the historical legacy and built environment form important parts of the city’s image. However, there is considerable diversity in representation. We argue that social media allow a more democratic view of the way cities are represented than other methodologies.

Keywords: Fashion; cities; creative industries; Twitter; social media; text mining (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0308518X20901585 (text/html)

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:sae:envira:v:52:y:2020:i:6:p:1195-1220

DOI: 10.1177/0308518X20901585

Access Statistics for this article

More articles in Environment and Planning A
Bibliographic data for series maintained by SAGE Publications ().