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The Politics of Aesthetic Preference in Participatory Music

Published online by Cambridge University Press:  03 February 2022

Eric Lemmon*
Affiliation:
Department of Music, Stony Brook University, New York, USA
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Abstract

Bringing together an array of interdisciplinary subjects, this article seeks to proffer a theory of political aesthetic preference emergent within participatory musical works. Beginning with an overview of imitation in music and then recapping the critical work advanced by Kofi Agawu and Jean-Jacques Nattiez on musical semiology, this article first delves into how musical signs are interpreted and propagated within participatory settings. Subsequently, using Jürgen Habermas’s influential theory on the public sphere as well as the critical revisions to said theory proposed by Nancy Fraser and Michael Warner, participatory musics are conceptualised as constituting the formal space of a public in which the aesthetic direction of a participatory music work is negotiated among participants. Based on an analysis of Luke Dahl, Jorge Herrera and Carr Wilkerson’s multi-user instrument and participatory work TweetDreams, this article discusses the ways in which participant inputs and choices impact the poietic process of the work due to the clear rules that are set up within its interactive and algorithmic protocols for sonification. It concludes by pointing towards other recent research on participatory works, where the framing of participatory musics as a political–aesthetic space leads to broader questions about audience power and how the latter is negotiated and shared, then poses questions for future research on the audience’s choice in refusal and dissensus.

Information

Type
Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. TweetDreams software architecture from Dahl et al. (2011).

Figure 1

Figure 2. Example of the algorithmic process that ensures that the first time-step in TweetDreams’ time-step melody contains a note.

Figure 2

Figure 3. Example code from Herrera (2012).