Revisiting gender-fair language and stereotypes: A comparison of word pairs, capital I forms and the asterisk

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Silke Schunack
  • Anja Binanzer

Organisationseinheiten

Externe Organisationen

  • Universität Erfurt
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Details

OriginalspracheEnglisch
Seiten (von - bis)309-337
Seitenumfang29
FachzeitschriftZeitschrift für Sprachwissenschaft
Jahrgang41
Ausgabenummer2
Frühes Online-Datum6 Sept. 2022
PublikationsstatusVeröffentlicht - 1 Nov. 2022

Abstract

In this paper we replicated two influential studies on gender-fair language that investigated how gender-fair language influences stereotype perception and recall of exemplars. We also updated the original studies to assess new forms of gender-fair language. A first set of studies replicated Gabriel et al. (2008) by eliciting gender proportion ratings for occupational nouns from adult German native speakers for word pairs, capital I forms and the asterisk. Results were mixed with effects mainly for female-biased nouns. Only the non-binary asterisk form (Lehrer*innen) showed an increase of women for male-biased nouns. A third study replicated Stahlberg and Sczesny’s (2001) naming study. Here, the number of women answers was higher than in the original study and increased when using gender-fair language with a larger increase for capital I forms (LehrerInnen) than for word pairs (Lehrer und Lehrerinnen). Overall, the effects of word pair forms were weaker than those of other forms of gender-fair language.

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Revisiting gender-fair language and stereotypes: A comparison of word pairs, capital I forms and the asterisk. / Schunack, Silke; Binanzer, Anja.
in: Zeitschrift für Sprachwissenschaft, Jahrgang 41, Nr. 2, 01.11.2022, S. 309-337.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Schunack S, Binanzer A. Revisiting gender-fair language and stereotypes: A comparison of word pairs, capital I forms and the asterisk. Zeitschrift für Sprachwissenschaft. 2022 Nov 1;41(2):309-337. Epub 2022 Sep 6. doi: 10.1515/zfs-2022-2008
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