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Applying computational analysis to textual data from the wild: A feminist perspective
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0001-9472-3805
2018 (English)In: CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 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.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018.
Keywords [en]
Critical GIS, Data analysis, Feminism, Feminist GIS, Geodata, GIS, Human-data-interaction, Text analysis, Topic modelling
National Category
Other Social Sciences Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-228563DOI: 10.1145/3173574.3173800ISI: 000509673102070Scopus ID: 2-s2.0-85046973154ISBN: 9781450356206 (print)ISBN: 9781450356213 (print)OAI: oai:DiVA.org:kth-228563DiVA, id: diva2:1210395
Conference
2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 21 April 2018 through 26 April 2018
Note

QC 20180528

Available from: 2018-05-28 Created: 2018-05-28 Last updated: 2022-09-13Bibliographically approved

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Balaam, Madeline

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf