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20212025
most citedA Survey on Gender Bias in Natural Language Processing

59 citations · 82 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023★ 1 cited

The Causal Influence of Grammatical Gender on Distributional Semantics

Karolina Stańczak, Kevin Du, Adina Williams +2

How much meaning influences gender assignment across languages is an active area of research in linguistics and cognitive science. We can view current approaches as aiming to deter…

cs.SI2023

Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide

Yevgeniy Golovchenko, Karolina Stańczak, Rebecca Adler-Nissen +2

Despite mounting evidence that women in foreign policy often bear the brunt of online hostility, the extent of online gender bias against diplomats remains unexplored. This paper o…

cs.CL2023★ 5 cited

Social Bias Probing: Fairness Benchmarking for Language Models

Marta Marchiori Manerba, Karolina Stańczak, Riccardo Guidotti +1

While the impact of social biases in language models has been recognized, prior methods for bias evaluation have been limited to binary association tests on small datasets, limitin…

cs.CL2023

Measuring Gender Bias in West Slavic Language Models

Sandra Martinková, Karolina Stańczak, Isabelle Augenstein

Pre-trained language models have been known to perpetuate biases from the underlying datasets to downstream tasks. However, these findings are predominantly based on monolingual la…

cs.CL2023

Measuring Intersectional Biases in Historical Documents

Nadav Borenstein, Karolina Stańczak, Thea Rolskov +3

Data-driven analyses of biases in historical texts can help illuminate the origin and development of biases prevailing in modern society. However, digitised historical documents po…