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Applying computational analysis to textual data from the wild: A feminist perspective
Newcastle University, UK.
KTH Royal Institute of Technology, Sweden.
RISE - Research Institutes of Sweden, ICT, SICS.
Newcastle University, UK.
2018 (English)In: Conference on Human Factors in Computing Systems - Proceedings, 2018Conference paper, Published paper (Refereed)
Abstract [en]

With technologies that afford much larger-scale data collection than previously imagined, new ways of processing and interpreting qualitative textual data are required. HCI researchers use a range of methods for interpreting the 'full range of human experience' from qualitative data, however, such approaches are not always scalable. Feminist geography seeks to explore how diverse and varied accounts of place can be understood and represented, whilst avoiding reductive classification systems. In this paper, we assess the extent to which unsupervised topic models can support such a research agenda. Drawing on literature from Feminist and Critical GIS, we present a case study analysis of a Volunteered Geographic Information dataset of reviews about breastfeeding in public spaces. We demonstrate that topic modelling can offer novel insights and nuanced interpretations of complex concepts such as privacy and be integrated into a critically reflexive feminist data analysis approach that captures and represents diverse experiences of place. © 2018 Copyright held by the owner/author(s).

Place, publisher, year, edition, pages
2018.
Keywords [en]
Critical GIS, Data analysis, Feminism, Feminist GIS, Geodata, GIS, Human-data-interaction, Text analysis, Topic modelling, Data handling, Data reduction, Geographic information systems, Human computer interaction, Human engineering, Information analysis, Geo-data, Human data, Tellurium compounds
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34453DOI: 10.1145/3173574.3173800Scopus ID: 2-s2.0-85046973154ISBN: 9781450356206 (print)ISBN: 9781450356213 (print)OAI: oai:DiVA.org:ri-34453DiVA, id: diva2:1238298
Conference
2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, 21 April 2018 through 26 April 2018
Available from: 2018-08-13 Created: 2018-08-13 Last updated: 2018-08-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
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