Download full text
(1.791Mb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-66077-2
Exports for your reference manager
"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
[conference paper]
Abstract Previous research has shown the existence of gender biases in the depiction of professions and occupations in search engine results. Such an unbalanced presentation might just as likely occur on Wikipedia, one of the most popular knowledge resources on the Web, since the encyclopedia has already bee... view more
Previous research has shown the existence of gender biases in the depiction of professions and occupations in search engine results. Such an unbalanced presentation might just as likely occur on Wikipedia, one of the most popular knowledge resources on the Web, since the encyclopedia has already been found to exhibit such tendencies in past studies. Under this premise, our work assesses gender bias with respect to the content of German Wikipedia articles about professions and occupations along three dimensions: used male vs. female titles (and redirects), included images of persons, and names of professionals mentioned in the articles. We further use German labor market data to assess the potential misrepresentation of a gender for each specific profession. Our findings in fact provide evidence for systematic over-representation of men on all three dimensions. For instance, for professional fields dominated by females, the respective articles on average still feature almost two times more images of men; and in the mean, 83% of the mentioned names of professionals were male and only 17% female.... view less
Keywords
gender-specific factors; Federal Republic of Germany; occupation; equal treatment; search engine; regression analysis; Internet; job title
Classification
Women's Studies, Feminist Studies, Gender Studies
Free Keywords
Wikipedia; gender inequality; professions; gender bias; Lexikon
Collection Title
Proceedings of the 9th ACM on Web Science Conference 2017
Conference
9. ACM Web Science Conference (WebSci '17). Troy
Document language
English
Publication Year
2017
Publisher
ACM
City
New York
Page/Pages
p. 83-92
DOI
https://doi.org/10.1145/3091478.3091488
ISBN
978-1-4503-4896-6
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications