Performing social media: artistic approaches to analysing big data

Tessa Osborne, Emily Warner, Phil Jones, Bernd Resch

Research output: Contribution to journalArticlepeer-review

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Abstract

Using several performances undertaken as part of a public art residency, this article discusses creative and playful approaches to social media data. Four pieces are discussed to demonstrate how social media posts can be re-appropriated and represented. In this project, geotagged Flickr images were used as a foundation for arts performances to give new meanings to the spaces where the social media post was tagged. In doing so, it demonstrates a way to bridge the quantitative-qualitative divide through the use of geographic big data in art, enabling scholars to move beyond the visualisations of big data produced by GIScience.
Original languageEnglish
Pages (from-to)282-294
Number of pages14
JournalGeoHumanities
Volume5
Issue number1
Early online date17 Dec 2018
DOIs
Publication statusE-pub ahead of print - 17 Dec 2018

Keywords

  • art
  • big data
  • performance
  • representation
  • social media
  • 艺术
  • 大数据
  • 表演, 再现
  • 社交媒体
  • arte
  • medios sociales
  • representación
  • representación escénica

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