Marketing

Exhibition

Diversity (politics)

Clothing

Tourism

Economics

Creative industries

Visual arts

Anthropology

Business

Economic geography

Advertising

Politics

Reputation

Social media

Political science

Entertainment industry

Fashion industry

Sociology

Representation (politics)

Economy

Entertainment

Social science

Environment and Planning A Economy and Space

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.

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