Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Arts

Publication Details

Digital Research in the Humanities and Arts, University of Greenwich, London. 2014.

Abstract

24h Social is a generative a data-driven generative video installation that explores the social media phenomenon of Vine video as performances in data. The project is created from a database of appropriated Vine content, extracted from millions of tweets, with each video shown at the time of its original creation. The project simultaneously celebrates Vine as a platform that facilitates succinct creative performative expressions whilst acknowledging that these activities are embedded within a problematic data assemblage that accrues substantial quantities of data on its users. Drawing on notions of social media performance it is suggested that a pathway to understanding the complex interplay of platform affordances and user performance in Vine is through a treatment of Vines as performances in data. The Vine database is identified as a resource for revealing new insights into everyday life at multiple levels and not solely a corporate or governmental intelligence asset used to serve targeted advertising or profile populations. This paper proposes that activist art practice has a part to play in making visible the structures and practices of data capture thus opening them to scrutiny using 24h Social as a case study.

DOI

https://doi.org/10.21427/wz8g-8563

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