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Performing Social Media

Artistic Approaches to Analyzing Big Data

Bibliographic Data

ID13100727
AuthorsTess Osborne (0000-0003-3323-8237, University of Birmingham, corresponding author), Emily Warner (0000-0003-2236-9725, Independent Dance), Phil Ian Jones (0000-0001-6455-1184, University of Birmingham), Bernd Resch (0000-0002-2233-6926, University of Salzburg)
Year2018
Volume5
Issue1
Pages282-294
Publication date2018-12-17
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGeoHumanities (JOURNAL)
Journal identifiersISSN: 2373-5678 • E-ISSN: 2373-566X
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/2373566x.2018.1543552
OpenAlexW2904375030
LanguageEN
Citations received2
References cited30

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 reappropriated 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. This demonstrates a way to bridge the quantitative–qualitative divide through the use of geographic big data in art, enabling scholars to move beyond the visualizations of big data produced by GIScience

Art · Big data · Bridge (graph theory · Data mining · Data science · Foundation (evidence · Geography · Media arts · Qualitative property · Social media · Sociology · The arts · Visual arts · World Wide Web · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Geographies of human-animal interactions

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Unique citing works2
Citations per year0,33
Citation span2020 - 2024 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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