Multimodal Identity Work: The Power of Visual Images for Identity Construction in the Gig Economy

Ana Alacovska, Eliane Bucher, Christian Fieseler*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We adopt a visual methods approach, in conjunction with an interview-based study, to investigate the identity work of creative workers who sell their services remotely as online freelancers via gig economy platforms. Based on visual self-portrayals elicited from 53 remote gig workers, including illustrators, animators and graphic designers, and their subsequent verbal reflections on these images, our study elucidates the generative power of visual images for gaining insights into identity work, especially in non-traditional work contexts facilitated by digital technologies. We distinguish key identity work strategies that remote gig workers use to construct their identities in relation to idealized, publicly available and free-floating imaginaries of platform labour. These strategies ranged from fully <italic>embracing</italic> such imaginaries to their vehement <italic>rejection</italic>, as well as strategies aimed at maintaining a <italic>balance</italic> between these extremes. Besides the embodied, sensorial intensities and imaginative projections underpinning such identity construction in the gig economy, our analysis foregrounds also the spatial aspects of identity work. Theoretically, we propose a redefinition of identity work as a multimodal accomplishment rather than exclusively a narrative one to better explain the elusive and contradictory aspects of identity work, including its affective and spatial character.
Original languageEnglish
JournalHuman Relations
Number of pages36
ISSN0018-7267
DOIs
Publication statusPublished - 8 Jan 2025

Bibliographical note

Epub ahead of print. Published online: 08 January 2025.

Keywords

  • Creative workers
  • Drawings
  • Gig economy
  • Identity work
  • Platform work
  • Verbal accounts
  • Visual images
  • Visual methods

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