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1
Assessing Gender Bias in Particle Physics and Social Science Recommendations for Academic Jobs
In: Social Sciences; Volume 11; Issue 2; Pages: 74 (2022)
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2
Measuring Gender Bias in Contextualized Embeddings
In: Computer Sciences & Mathematics Forum; Volume 3; Issue 1; Pages: 3 (2022)
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3
Gender Bias in Text: Labeled Datasets and Lexicons ...
Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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4
Gender Bias in Text: Labeled Datasets and Lexicons ...
Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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5
Gender Bias in Text: Labeled Datasets and Lexicons ...
Doughman, Jad; Khreich, Wael. - : Zenodo, 2022
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6
Linguistic Sexism in the Pre-intermediate Market Leader: Business English Course Book
In: Journal of International Women's Studies (2021)
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7
Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021)
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8
Machine Translation and Gender biases in video game localisation: a corpus-based analysis
In: Colloque interdisciplinaire « Vers une robotique du traduire ? ; https://hal.archives-ouvertes.fr/hal-03466630 ; Colloque interdisciplinaire « Vers une robotique du traduire ?, Sep 2021, Strasbourg, France ; https://robotrad2020.sciencesconf.org/program (2021)
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9
The Influence of Personas' Gender in Design ; CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter
Abstract: PUBLISHED ; In mobile application design, the construction of personas is a well-known technique that helps designers to empathise with users and to understand their needs. However, there are several issues that lead to stereotyped personas and men?s needs being prioritised in design projects. The under-representation of women in design teams, insufficient user research, the assumption that the default user is a man, and the influence of personal beliefs in the decision making process all obstruct the inclusion of women?s needs in the design process. Therefore, we propose the creation of gender-neutral personas that merge both the needs of men and women using two different approaches, and we compare them with traditional gendered personas. The results of the study confirm our hypothesis ? the gender-neutral personas culminated in more gender-inclusive design requirements.
Keyword: Computational Linguistics; Creative Technologies; Digital Engagement; Digital Humanities; GENDER; gender bias; Gender role attitudes; Gender role attitudes & behaviour; Gender-inclusive design; Gender-neutral persona; Mobile app development
URL: https://dl.acm.org/doi/10.1145/3464385.3464736
https://doi.org/10.1145/3464385.3464736
http://people.tcd.ie/vogel
http://hdl.handle.net/2262/97086
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10
Quality and quantity : gender representation in teacher discourse and kindergarten math curriculum
Otis, Alexandria. - : University of Missouri--Columbia, 2021
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11
Mitigating Gender Bias in Machine Learning Data Sets
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12
Gender and dictionary: russian perspective ; Género e dicionário: uma perspetiva russa
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13
Moving Beyond the Native-Speaker Bias in the Analysis of Variable Gender Marking ; Frontiers in Communication
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14
Slovene and Croatian word embeddings in terms of gender occupational analogies
In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021) (2021)
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15
WinoST: Evaluating Gender Bias in Speech Translation ...
Costa-Jussa, Marta R.. - : Zenodo, 2020
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16
WinoST: Evaluating Gender Bias in Speech Translation ...
Costa-Jussa, Marta R.. - : Zenodo, 2020
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17
Data from: Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types ...
Rozado, David. - : Dryad, 2020
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18
"(Weitergeleitet von Journalistin)": The Gendered Presentation of Professions on Wikipedia
In: Proceedings of the 9th ACM on Web Science Conference 2017 ; 83-92 ; ACM Web Science Conference (WebSci '17) ; 9 (2020)
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19
Gender Effects in Mobile Application Development. ; 2020 IEEE International Conference on Human-Machine Systems
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20
Demographic-Aware Natural Language Processing
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