--- title: "Gender Studies — papers" description: "Gender Studies: 26 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas, references and who…" canonical: "https://research.elamur.ai/free/en/shelves/social-sciences/gender-studies/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/social-sciences/gender-studies/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/) / Gender Studies # 🤝 Gender Studies 26 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Gender Studies is a subfield of Social Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Gender Studies in Language», «Gender, Feminism, and Media», «Media, Gender, and Advertising». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/page/2/) 1. [**Gender Bias in Coreference Resolution**Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.*2018 · 852 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/) 2. [**Mitigating Gender Bias in Natural Language Processing: Literature Review**Tony Sun, Andrew Gaut, Shirlyn Tang, et al.*2019 · 716 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/) 3. [**Social Bias Frames: Reasoning about Social and Power Implications of Language**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 680 citations*](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) 4. [**Evaluating Gender Bias in Machine Translation**Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/stanovsky-2019-evaluating-gender-bias-machine-translation/) 5. [**Learning Gender-Neutral Word Embeddings**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 512 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) 6. [**Gender Bias in Contextualized Word Embeddings**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) 7. [**Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them**Hila Gonen, Yoav Goldberg*2019 · 412 citations*](https://md.research.elamur.ai/free/en/papers/gonen-2019-lipstick-pig-debiasing-methods-cover/) 8. [**Gender Bias in Neural Natural Language Processing**Kaiji Lu, Piotr Mardziel, Fangjing Wu, et al.*2018 · 394 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-gender-bias-neural-natural-language/) 9. [**Gender and Representation Bias in GPT-3 Generated Stories**Li Lucy, David Bamman*2021 · 382 citations*](https://md.research.elamur.ai/free/en/papers/lucy-2021-gender-representation-bias-gpt-3/) 10. [**Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology**Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.*2019 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zmigrod-2019-counterfactual-data-augmentation-mitigating-gender/) 11. [**Gender Bias in Machine Translation**Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.*2021 · 310 citations*](https://md.research.elamur.ai/free/en/papers/savoldi-2021-gender-bias-machine-translation/) 12. [**Evaluating the Underlying Gender Bias in Contextualized Word Embeddings**Christine Basta, Marta R. Costa-jussà, Noe Casas*2019 · 264 citations*](https://md.research.elamur.ai/free/en/papers/basta-2019-evaluating-underlying-gender-bias-contextualized/) 13. [**Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.*2021 · 228 citations*](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/) 14. [**Toward Gender-Inclusive Coreference Resolution**Yang Trista Cao, Hal Daumé III*2020 · 125 citations*](https://md.research.elamur.ai/free/en/papers/cao-2020-gender-inclusive-coreference-resolution/) 15. [**Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation**Shahar Levy, Koren Lazar, Gabriel Stanovsky*2021 · 82 citations*](https://md.research.elamur.ai/free/en/papers/levy-2021-collecting-large-scale-gender-bias/) 16. [**Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle***Yang Trista Cao, Hal Daumé III*2021 · 71 citations*](https://md.research.elamur.ai/free/en/papers/cao-2021-gender-inclusive-coreference-resolution-analysis/) 17. [**ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective Disagreements**Dina Almanea, Massimo Poesio*2022 · 42 citations*](https://md.research.elamur.ai/free/en/papers/almanea-2022-armis-arabic-misogyny-sexism-corpus/) 18. [**The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses**Bashar Alhafni, Nizar Habash, Houda Bouamor*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/alhafni-2022-arabic-parallel-gender-corpus-2/) 19. [**The User-Aware Arabic Gender Rewriter**Bashar Alhafni, Ossama Obeid, Nizar Habash*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alhafni-2023-user-aware-arabic-gender-rewriter/) 20. [**Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context**Marion Bartl, Thomas Brendan Murphy, Susan Leavy*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/bartl-2025-adapting-psycholinguistic-research-llms-gender/) 21. [**Gendered Speech: A Sociolinguistic Study of Conversations between Men and Women in Biblical Narrative**Laura Hare*2018 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hare-2018-gendered-speech-sociolinguistic-study-conversations/) 22. [**Roadblocks in Gender Bias Measurement for Diachronic Corpora**Saied Alshahrani, Esma Wali, Abdullah R Alshamsan, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshahrani-2022-roadblocks-gender-bias-measurement-diachronic/) 23. [**Audience Engagement with Arabic Women's Social Empowerment and Wellbeing: A Decadal Corpus**Wajdi Zaghouani, Mabrouka Bessghaier, Md. Rafiul Biswas, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-audience-engagement-arabic-women-s/) 24. [**ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation**Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti*2026*](https://md.research.elamur.ai/free/en/papers/rescigno-2026-conga-guidelines-contextual-gender-annotation/) 25. [**University Speaking for Everyone: Assessing Changes in Italian Higher Education Statutes toward Gender-Inclusive Language**Sebastiano Vecellio Salto, Camilla Casula, Alessio Palmero Aprosio, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salto-2026-university-speaking-everyone-assessing-changes/) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/page/2/) Updated 23 October 2026 - [← previous subfield Education](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) - [next subfield → General Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) - [↑ back to Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/)