Scott, JE ORCID: https://orcid.org/0000-0003-4768-8175
2021,
'A datalogical reading of online performance'
, International Journal of Performance Arts and Digital Media, 18 (1)
, pp. 69-89.
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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.
Item Type: | Article |
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Schools: | Schools > School of Arts & Media > Arts, Media and Communication Research Centre |
Journal or Publication Title: | International Journal of Performance Arts and Digital Media |
Publisher: | Taylor & Francis |
ISSN: | 1479-4713 |
Related URLs: | |
Depositing User: | Dr Joanne Scott |
Date Deposited: | 14 Dec 2021 09:14 |
Last Modified: | 15 Jun 2022 16:08 |
URI: | http://usir.salford.ac.uk/id/eprint/62535 |
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