A datalogical reading of online performance

Scott, JE

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