Theories of Gender in Natural Language Processing

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Theories of Gender in Natural Language Processing

Devinney, Hannah, 1995- (author): Umeå universitet,Institutionen för datavetenskap,Umeå centrum för genusstudier (UCGS),Foundations of Language Processing

Björklund, Jenny, 1974- (author): Umeå universitet,Institutionen för datavetenskap,Uppsala University, Sweden

Björklund, Henrik (author): Umeå universitet,Institutionen för datavetenskap,Foundations of Language Processing

(creator_code:org_t)

2022-06-20
2022
English.
In: Proceedings of the fifth annual ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT'22). - New York, NY, USA : ACM.

Related links:: https://arxiv.org/ab...; show more...; https://facctconfere...; https://facctconfere...; https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Conference paper (peer-reviewed)

Abstract Subject headings

The rise of concern around Natural Language Processing (NLP) technologies containing and perpetuating social biases has led to a rich and rapidly growing area of research. Gender bias is one of the central biases being analyzed, but to date there is no comprehensive analysis of how “gender” is theorized in the field. We survey nearly 200 articles concerning gender bias in NLP to discover how the field conceptualizes gender both explicitly (e.g. through definitions of terms) and implicitly (e.g. through how gender is operationalized in practice). In order to get a better idea of emerging trajectories of thought, we split these articles into two sections by time.We find that the majority of the articles do not make their theo- rization of gender explicit, even if they clearly define “bias.” Almost none use a model of gender that is intersectional or inclusive of non- binary genders; and many conflate sex characteristics, social gender, and linguistic gender in ways that disregard the existence and expe- rience of trans, nonbinary, and intersex people. There is an increase between the two time-sections in statements acknowledging that gender is a complicated reality, however, very few articles manage to put this acknowledgment into practice. In addition to analyzing these findings, we provide specific recommendations to facilitate interdisciplinary work, and to incorporate theory and methodol- ogy from Gender Studies. Our hope is that this will produce more inclusive gender bias research in NLP.

Subject headings

NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
SAMHÄLLSVETENSKAP -- Annan samhällsvetenskap -- Genusstudier (hsv//swe)
SOCIAL SCIENCES -- Other Social Sciences -- Gender Studies (hsv//eng)

Keyword

natural language processing
gender bias
gender studies
datalogi
Computer Science
genusvetenskap
gender studies

Publication and Content Type

ref (subject category)
kon (subject category)

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NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Language Technol ...

SOCIAL SCIENCES: SOCIAL SCIENCES; and Other Social Sci ...; and Gender Studies

Articles in the publication: Proceedings of t ...

By the university: Umeå University

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