Change search
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
“Oh It Was a Woman! Had I Known I Would Have Reacted Otherwise!”: Developing Digital Methods to Switch Identity-Related Properties in Order to Reveal Linguistic Stereotyping
Örebro University, School of Humanities, Education and Social Sciences. (Soris)
(Soris)ORCID iD: 0000-0003-4429-5720
Department of Language Studies, Umeå University, Umeå, Sweden.ORCID iD: 0000-0001-6828-3009
2019 (English)In: Virtual Sites as Learning Spaces: Critical Issues on Languaging Research in Changing Eduscapes / [ed] Sangeeta Bagga-Gupta, Giulia Messina Dahlberg and Ylva Lindberg, England: Palgrave Macmillan, 2019, 1, p. 207-239Chapter in book (Refereed)
Abstract [en]

This chapter describes the methodological processes involved in the project Raising Awareness using Virtual Experiencing (RAVE), funded by the Swedish Research council. The aim of the project is to develop experiential pedagogic approaches aimed at raising sociolinguistic language awareness about stereotyping and language. A key feature of the method consists of updated matched-guise techniques, whereby the same recording is digitally manipulated to alter the voice quality of a speaker to sound “male” or “female”, for example. These versions of the recording are then used as input stimuli for a response phase aimed at illustrating how we as listeners react differently to a person, and what is being said, depending on the perceived identity of the speaker. This chapter then illustrates how results are used as a starting point for discussions with respondents (student groups) on issues related to stereotyping and language, with the aim to raise awareness and self-reflection.

Place, publisher, year, edition, pages
England: Palgrave Macmillan, 2019, 1. p. 207-239
Keywords [en]
Stereotyping, Raising awareness, Gender, Perception, Matched-guise
National Category
Educational Sciences General Language Studies and Linguistics
Research subject
Linguistics
Identifiers
URN: urn:nbn:se:oru:diva-78333DOI: 10.1007/978-3-030-26929-6_8ISBN: 978-3-030-26928-9 (print)ISBN: 978-3-030-26929-6 (electronic)OAI: oai:DiVA.org:oru-78333DiVA, id: diva2:1374658
Projects
Raising Awareness through Virtual Experiencing (RAVE) - VRA Cross-Cultural Perspective on Raising of Awareness through Virtual Experiencing (C-RAVE) (Wallenbergstiftelsen)
Funder
Swedish Research Council, 2014-01972Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2019-12-18Bibliographically approved

Open Access in DiVA

“Oh It Was a Woman! Had I Known I Would Have Reacted Otherwise!”: Developing Digital Methods to Switch Identity-Related Properties in Order to Reveal Linguistic Stereotyping(623 kB)33 downloads
File information
File name FULLTEXT01.pdfFile size 623 kBChecksum SHA-512
9eece8e104c18d91d3b36f34e88de58f14a38e7623442d4cc774ee4dea53990f182bc7c66c175594208304156d7c5354dc093e79d4eac693ebe0fba2aca850f1
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Lindvall-Östling, MattiasDeutschmann, MatsSteinvall, Anders
By organisation
School of Humanities, Education and Social Sciences
Educational SciencesGeneral Language Studies and Linguistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 33 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 39 hits
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