Henriques, Julian F.. 2020. Rhythm, Rhythmanalysis and Algorithm-Analysis. In: Paola Crespi and Sunil Manghani, eds. Rhythm and Critique: Technics, Modalities, Practices. Edinburgh: Edinburgh University Press, pp. 242-266. ISBN 9781474447546 [Book Section]

Preview	Text (Rhythm and Algorithm: How Rhythmanalysis became Commercialized, Politicised and Weaponised.) Henriques_Rhythm&Algorithm.pdf - Draft Version Available under License Creative Commons Attribution Non-commercial. Download (238kB) | Preview
Preview	Text Henriques_Rhythm&AlgorithmV2.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial. Download (466kB) | Preview

Abstract or Description

The contemporary Western world has been shaped if not actually born from the algorithm, it has been said. We live in a computational culture, more specifically an algorithmic culture, as Alexander Galloway pointed out more than a decade ago. One of the excellent New Economics Foundation reports puts it thus: “[algorithms] have morphed from curating online content to curating and influencing our lives.” Indeed, capitalism’s current financialized mode depends entirely on algorithmic calculation, as the basis of derivatives, high speed trading and the new fintech sector, for example. Platform capitalism relies on algorithmic machine learning and AI, as does manufacturing. Expert systems for medical diagnosis and robot surgery are built from algorithmic machine learning. Political campaigning exploits the micro-targeting of social media messages, as we have learnt from the Cambridge Analytica scandal, not to mention the Snowden revelation of the most extensive government mass surveillance operations the world has ever seen. Pattern of life analysis has been literally adopted in the algorithms of the “kill chain” of drone bombers.

Item Type:	Book Section
Departments, Centres and Research Units:	Media, Communications and Cultural Studies Media, Communications and Cultural Studies > Topology Research Unit
Dates:	Date Event August 2018 Submitted 30 June 2020 Published
Item ID:	23989
Date Deposited:	09 Aug 2018 08:52
Last Modified:	12 Jun 2021 22:11
URI:	https://research.gold.ac.uk/id/eprint/23989

View statistics for this item...

Edit Record (login required)