The perception of German occupations on YouTube : gender and skill biases in video recommendations

Kostadinovska, Katerina [Verfasser]; Hein, Kristine [Verfasser]; Tiemann, Michael [Verfasser]

The perception of German occupations on YouTube : gender and skill biases in video recommendations

bibb.id	784690
bibb.participation	BIBB-Mitarbeiter	de
bibb.publisherplace	Bonn	de
dc.contributor.author	Kostadinovska, Katerina [Verfasser]	de
dc.contributor.author	Hein, Kristine [Verfasser]	de
dc.contributor.author	Tiemann, Michael [Verfasser]	de
dc.date.accessioned	2026-04-09T10:32:29Z
dc.date.available	2026-04-09T10:32:29Z
dc.date.issued	2025
dc.description.abstract	"This study investigates the representation of gender and skill biases in YouTube’s video recommendation system for occupations in Germany. Using a dataset of 526,535 synonyms and variants of male, female, and neutral job titles, we analyse recommendations across three occupational domains: computer science, preschool teaching, and food manufacturing. The study’s findings reveal notable patterns, including a higher overlap in recommendations for male and female job titles in female-dominated occupations and a disproportionately negative sentiment in videos associated with neutral job titles for male-dominated fields. A detailed metadata analysis highlights linguistic and educational framing as key factors shaping recommendations, yet it falls short of explaining observed sentiment trends. The results underscore the need for multi-method approaches to address algorithmic bias and suggest practical implications for developers, policymakers, and media literacy advocates. This research contributes to the growing discourse on fairness and inclusivity in algorithmically curated digital environments." (Authors' abstract, BIBB-Doku)	de
dc.description.statementofresponsibility	Katerina Kostadinovska, Kristine Hein, and Michael Tiemann	de
dc.description.version	referiert	de
dc.format.extent	Seite 1001-1008	de
dc.format.illustration	Illustrationen	de
dc.format.illustration	Diagramme	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	DOI:10.18420/inf2025_85
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784690
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science. 16.–19. September 2025, Potsdam / Ulrike Lucke [Hrsg.] ; Stefan Stieglitz [Hrsg.] ; Falk Uebernickel [Hrsg.] ; Anna-Lena Lamprecht ; [Hrsg.] ; Maike Klein [Hrsg.]. - (Lecture Notes in Informatics (LNI). Proceedings ; Volume 366)
dc.rights	Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/	*
dc.subject.classification	L 4.1.2 Elektronische Medien	de
dc.subject.classification	G 2.3 Wandel von Arbeit & Wirtschaft	de
dc.subject.classification	G 2.4.5 Gender Mainstreaming	de
dc.subject.classification	S 4.3.5 Bildungsbeteiligung & soziale Gerechtigkeit	de
dc.subject.classification	L 5 Beratung & Orientierung	de
dc.subject.ddc	370	de
dc.subject.other	Social Media	de
dc.subject.other	Algorithmus	de
dc.subject.other	Empfehlung	de
dc.subject.other	Berufsrolle	de
dc.subject.other	Berufsprestige	de
dc.subject.other	Geschlechterrolle	de
dc.subject.other	Bildungschancengleichheit	de
dc.subject.other	Berufswahlverhalten	de
dc.title	The perception of German occupations on YouTube : gender and skill biases in video recommendations	de

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INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science. 16.–19. September 2025, Potsdam / Ulrike Lucke [Hrsg.] ; Stefan Stieglitz [Hrsg.] ; Falk Uebernickel [Hrsg.] ; Anna-Lena Lamprecht ; [Hrsg.] ; Maike Klein [Hrsg.]
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