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Stereotypical colours in european gender statistics visualisations
ID
Bavdaž, Mojca
(
Author
),
ID
Kos, Jerneja
(
Author
),
ID
Pavasović Trošt, Tamara
(
Author
),
ID
Marinšek, Denis
(
Author
)
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https://journals.sagepub.com/doi/10.1177/21582440251336950
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Abstract
Gender statistics play an important role in highlighting gender inequalities, but they are often presented in a conventional way by depicting males in blue and females in pink. Using stereotypical colours saves users from having to learn which colour is used for which gender. However, colours can also convey unintended messages of strength vs. weakness, status, and power, confirming the very stereotypes they are intended to address. National statistical institutes have the opportunity to influence public perceptions and could play a leading role in raising awareness about gender issues. In our article, we examine the use of colours to represent gender in the Twitter accounts (rebranded to X accounts on July 23, 2023) of national statistical institutes in 24 European countries. Quantitative analysis of 631 colour pairs from 644 images reveals that the stereotypical use of colours in official statistics is still widespread. We examine the nine patterns discovered and comment on possible solutions.
Language:
English
Keywords:
gender
,
official statistics
,
colour
,
communication
,
visualisation
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
EF - School of Economics and Business
Publication status:
Published
Publication version:
Version of Record
Year:
2025
PID:
20.500.12556/RUL-172547
UDC:
005.4
ISSN on article:
2158-2440
DOI:
10.1177/21582440251336950
COBISS.SI-ID:
237214467
Publication date in RUL:
08.09.2025
Views:
153
Downloads:
36
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Record is a part of a journal
Title:
SAGE open
Publisher:
SAGE Publications
ISSN:
2158-2440
COBISS.SI-ID:
2586967
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
statistika
,
spol
,
vizualizacija
Projects
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P5-0441-2023
Name:
Regeneracija ekonomije in posla
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P5-0128-2018
Name:
Izzivi vključujočega in trajnostnega razvoja v prevladujoči paradigmi ekonomskih in poslovnih znanosti
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