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Does Gender-Fair Language Pay Off? The Social Perception of Professions from a Cross-Linguistic Perspective

Overview of attention for article published in Frontiers in Psychology, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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134 Mendeley
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Title
Does Gender-Fair Language Pay Off? The Social Perception of Professions from a Cross-Linguistic Perspective
Published in
Frontiers in Psychology, January 2016
DOI 10.3389/fpsyg.2015.02018
Pubmed ID
Authors

Lisa K. Horvath, Elisa F. Merkel, Anne Maass, Sabine Sczesny

Abstract

In many languages, masculine forms (e.g., German Lehrer, "teachers, masc.") have traditionally been used to refer to both women and men, although feminine forms are available, too. Feminine-masculine word pairs (e.g., German Lehrerinnen und Lehrer, "teachers, fem. and teachers, masc.") are recommended as gender-fair alternatives. A large body of empirical research documents that the use of gender-fair forms instead of masculine forms has a substantial impact on mental representations. Masculine forms activate more male representations even when used in a generic sense, whereas word pairs (e.g., German Lehrerinnen und Lehrer, "teachers, fem. and teachers, masc.") lead to a higher cognitive inclusion of women (i.e., visibility of women). Some recent studies, however, have also shown that in a professional context word pairs may be associated with lesser status. The present research is the first to investigate both effects within a single paradigm. A cross-linguistic (Italian and German) study with 391 participants shows that word pairs help to avoid a male bias in the gender-typing of professions and increase women's visibility; at the same time, they decrease the estimated salaries of typically feminine professions (but do not affect perceived social status or competence). This potential payoff has implications for language policies aiming at gender-fairness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 134 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 20%
Student > Bachelor 19 14%
Researcher 11 8%
Student > Ph. D. Student 11 8%
Professor > Associate Professor 9 7%
Other 17 13%
Unknown 40 30%
Readers by discipline Count As %
Psychology 38 28%
Linguistics 26 19%
Social Sciences 8 6%
Business, Management and Accounting 4 3%
Agricultural and Biological Sciences 3 2%
Other 14 10%
Unknown 41 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 September 2023.
All research outputs
#1,318,493
of 25,200,621 outputs
Outputs from Frontiers in Psychology
#2,718
of 34,038 outputs
Outputs of similar age
#23,240
of 406,711 outputs
Outputs of similar age from Frontiers in Psychology
#63
of 447 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 406,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 447 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.