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Cited by 348

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Creative and cultural work without filters: Covid-19 and exposed precarity in the creative economy

Open access
Comunian, Roberta, England, Lauren·2020·Cultural Trends

Abstract

The precarious nature of creative and cultural work is widely acknowledged in academic literature. However, it has often been invisible in the eyes of policy and policymaking. As soon as the spread of Covid-19 started impacting local and national economies across the globe, many industry and policy bodies rushed into researching the impact of Covid-19 on the creative and cultural industries (CCIs) and the workers in the sector. The paper offers an insight into the key concerns of these organizations through the meta-analysis of the survey and research projects that are currently being undertaken in the context of the UK. The results highlight common concerns in relation to visible and invisible issues that need addressing in the sector. The paper concludes by questioning if Covid-19 represents a moment of crisis for the sector or has simply exposed the unsustainable price of creative and cultural work.

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Metadata

Authors
Comunian, R., & England, L.
Venue
Cultural Trends
Published
2020-03-14
Volume
29
Issue
2
Pages
112-128
ISSN
  • 0954-8963 (ISSN-L)
  • 1469-3690
OpenAlex
W3034044019
Cited by
348
References
47
FWCI
110.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Creative and cultural work without filters: Covid-19 and exposed precarity in the creative economy. https://app.cochat.ai/papers/10.1080/09548963.2020.1770577
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Comunian, R., & England, L. (2020). Creative and cultural work without filters: Covid-19 and exposed precarity in the creative economy. Cultural Trends. https://doi.org/10.1080/09548963.2020.1770577

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.