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Algorithmic systems such as search engines and information retrieval platforms significantly influence academic visibility and the dissemination of knowledge. Despite assumptions of neutrality, these systems can reproduce or reinforce…

Information Retrieval · Computer Science 2025-08-11 Stefanie Urchs , Veronika Thurner , Matthias Aßenmacher , Ludwig Bothmann , Christian Heumann , Stephanie Thiemichen

In a recent study by Ginther et al., the probability of receiving a U.S. National Institutes of Health (NIH) RO1 award was related to the applicant's race/ethnicity. The results indicate black/African-American applicants were 10% less…

Applications · Statistics 2011-12-19 J. S. Yang , M. W. Vannier , F. Wang , Y. Deng , F. R. Ou , J. R. Bennett , Y. Liu , G. Wang

Gender inequity is one of the biggest challenges facing the STEM workforce. While there are many studies that look into gender disparities within STEM and academia, the majority of these have been designed and executed by those unfamiliar…

Researchers have pinpointed recognition from others as one of the most important dimensions of students' science and engineering identity. Studies, however, have found gender biases in students' recognition of their peers, with inconsistent…

Physics Education · Physics 2024-05-03 Meagan Sundstrom , Ashley B. Heim , Barum Park , N. G. Holmes

A growing stream of research finds that scientific contributions are evaluated differently depending on the gender of the author. In this article, we consider whether gender differences in writing styles - how men and women communicate…

Computers and Society · Computer Science 2025-08-12 Kara Kedrick , Ekaterina Levitskaya , Russell J. Funk

Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for women and dark-skinned people. To mitigate the bias of…

Computer Vision and Pattern Recognition · Computer Science 2022-08-18 Sreeraj Ramachandran , Ajita Rattani

The use of Large Language Models (LLMs) in hiring has led to legislative actions to protect vulnerable demographic groups. This paper presents a novel framework for benchmarking hierarchical gender hiring bias in Large Language Models…

Computation and Language · Computer Science 2025-01-20 Ze Wang , Zekun Wu , Xin Guan , Michael Thaler , Adriano Koshiyama , Skylar Lu , Sachin Beepath , Ediz Ertekin , Maria Perez-Ortiz

The systematic differences of gender representation across occupations, gender-based occupational segregation, has been suggested as one of the most important determinants of the still existing gender wage gap. Despite some signs of a…

Social and Information Networks · Computer Science 2021-08-25 Joana Passinhas , Tanya Araújo

We address previous hypotheses about possible factors influencing the gender gap in attainment in physics. Specifically, previous studies claim that male advantage may arise from multiple-choice style questions, and that scaffolding may…

Physics Education · Physics 2017-04-26 Hillary Dawkins , Holly Hedgeland , Sally Jordan

Concerns regarding the footprint of societal biases in information retrieval (IR) systems have been raised in several previous studies. In this work, we examine various recent IR models from the perspective of the degree of gender bias in…

Information Retrieval · Computer Science 2021-01-20 Navid Rekabsaz , Markus Schedl

Aesthetic preferences are considered highly subjective resulting in inherently noisy judgements of aesthetic objects, yet certain aspects of aesthetic judgement display convergent trends over time. This paper present a study that uses…

Computers and Society · Computer Science 2022-06-22 Ida Marie Schytt Lassen , Yuri Bizzoni , Telma Peura , Mads Rosendahl Thomsen , Kristoffer Laigaard Nielbo

As LLMs are increasingly applied in socially impactful settings, concerns about gender bias have prompted growing efforts both to measure and mitigate such bias. These efforts often rely on evaluation tasks that differ from natural language…

Computation and Language · Computer Science 2025-09-11 Bufan Gao , Elisa Kreiss

Many studies demonstrate that there is still a significant gender bias, especially at higher career levels, in many areas including science, technology, engineering, and mathematics (STEM). We investigated field-dependent, gender-specific…

The analysis of existing institutional research proposal databases can provide novel insights into science funding parity. The purpose of this study was to analyze the relationship between race/ethnicity and extramural research proposal and…

Computers and Society · Computer Science 2022-10-12 Alessandra Zimmermann , Richard Klavans , Heather Offhaus , Teri A. Grieb , Caleb Smith

Efforts to promote equity and inclusion using evidence-based approaches are vital to correct long-standing societal inequities that have disadvantaged women and discouraged them from pursuing studies, e.g., in many STEM disciplines. We use…

Physics Education · Physics 2020-04-02 Kyle M. Whitcomb , Chandralekha Singh

Recommendation systems are now an integral part of our daily lives. We rely on them for tasks such as discovering new movies, finding friends on social media, and connecting job seekers with relevant opportunities. Given their vital role,…

Artificial Intelligence · Computer Science 2025-02-26 Tahsin Alamgir Kheya , Mohamed Reda Bouadjenek , Sunil Aryal

Gender diversity enhances research by bringing diverse perspectives and innovative approaches. It ensures equitable solutions that address the needs of diverse populations. However, gender disparity persists in research where women remain…

Software Engineering · Computer Science 2025-05-08 Shamse Tasnim Cynthia , Saikat Mondal , Joy Krishan Das , Banani Roy

Peer review is the primary means of quality control in academia; as an outcome of a peer review process, program and area chairs make acceptance decisions for each paper based on the review reports and scores they received. Quality of…

Computation and Language · Computer Science 2022-05-30 Nils Dycke , Edwin Simpson , Ilia Kuznetsov , Iryna Gurevych

This case study of a typical U.S. particle physics experiment explores the issues of gender bias and how it affects the academic career advancement prospects of women in the field of physics beyond the postdoctoral level; we use public…

Physics and Society · Physics 2008-04-19 S. Towers

Gender bias in vision-language foundation models (VLMs) raises concerns about their safe deployment and is typically evaluated using benchmarks with gender annotations on real-world images. However, as these benchmarks often contain…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Yusuke Hirota , Ryo Hachiuma , Boyi Li , Ximing Lu , Michael Ross Boone , Boris Ivanovic , Yejin Choi , Marco Pavone , Yu-Chiang Frank Wang , Noa Garcia , Yuta Nakashima , Chao-Han Huck Yang