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A datalogical reading of online performance

Scott, JE

Authors

JE Scott



Abstract

This article offers a datalogical reading of online performance. In constructing the framework for this new mode of analysing online, computationally centred performance practice, it draws on discussions of data and the datalogical in Blackman (2019), Clough et. al (2015) and Chun (2016), as well as the practices of surveillance capitalism outlined by Zuboff (2019). In conducting the analysis, attention is specifically paid to data as a ‘process of translation’ (Blackman 2019, p.xxii), how the audience-participant as data-subject is identified and known and the ways in which data passes in and out of bodies in these works. In looping together these underlying computational happenings with the dramaturgical practices of the performances, I argue that a richer and expanded perspective of online performance practice is afforded – one which opens up the relationships between what we see, feel and experience and the other unseen, but present happenings centred in data exchange and processing within the events in question.

Citation

Scott, J. (2021). A datalogical reading of online performance. International Journal of Performance Arts and Digital Media, 18(1), 69-89. https://doi.org/10.1080/14794713.2021.2018222

Journal Article Type Article
Acceptance Date Nov 16, 2021
Online Publication Date Dec 26, 2021
Publication Date Dec 26, 2021
Deposit Date Dec 14, 2021
Publicly Available Date Jan 7, 2022
Journal International Journal of Performance Arts and Digital Media
Print ISSN 1479-4713
Electronic ISSN 2040-0934
Publisher Routledge
Volume 18
Issue 1
Pages 69-89
DOI https://doi.org/10.1080/14794713.2021.2018222
Publisher URL https://doi.org/10.1080/14794713.2021.2018222
Related Public URLs https://www.tandfonline.com/toc/rpdm20/current

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