Oliver, M., Smallwood, S., Moore, S. et al. (1 more author) (2022) My data body. In: SIGGRAPH '22: ACM SIGGRAPH 2022 Art Gallery. SIGGRAPH '22: ACM SIGGRAPH 2022 Art Gallery, 07-11 Aug 2022, Vancouver, British Columbia, Canada. Association for Computing Machinery , pp. 1-2. ISBN 9781450393720
Abstract
In My Data Body, the magnetic resonance (MR) scanned body of the artist Marilène Oliver floats prone within a 'cloud' of her textual Facebook data. Into the semi-transparent, virtual body are multiple other data corpuses downloaded from social media platforms plotted into cross sections of the body. In the horizontal plane, Mac terminal data is plotted into bone, Google data into muscle and Facebook data into fat. In the vertical plane are plotted data usage agreements. Passwords and logins flow back and forth through veins and arteries, whilst retinal images, dental scans and 3D meshes of organs and bones are suspended within the quantified and datafied body [Lupton 2016; Van Dijck 2014]. There is a continuous stream of text particles that flow through and around the data body that one can swat away or nestle into.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of English (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Apr 2024 13:53 |
Last Modified: | 26 Apr 2024 13:53 |
Status: | Published |
Publisher: | Association for Computing Machinery |
Identification Number: | 10.1145/3532837.3534953 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:211908 |