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Large Language Models (LLMs) are increasingly being used to generate text across various languages, for tasks such as translation, customer support, and education. Despite these advancements, LLMs show notable gender biases in English,…

Computation and Language · Computer Science 2024-09-23 Ishika Joshi , Ishita Gupta , Adrita Dey , Tapan Parikh

This paper examines how gender and residential socioeconomic status shape hiring outcomes in the information technology sector using a field experiment from the city of Karachi, Pakistan. Employers in Pakistan can openly state preferences…

General Economics · Economics 2026-02-10 Sana Khalil

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

Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently,…

Computation and Language · Computer Science 2023-02-24 Jad Doughman , Wael Khreich

This paper investigates the barriers to gender convergence using Japan as a salient environment to explore the interactive effects of labor market structures and social norms. I develop a quantitative model of household labor supply where…

General Economics · Economics 2026-03-24 Kazuharu Yanagimoto

Large language models (LLMs) are becoming increasingly ubiquitous in our daily lives, but numerous concerns about bias in LLMs exist. This study examines how gender-diverse populations perceive bias, accuracy, and trustworthiness in LLMs,…

Human-Computer Interaction · Computer Science 2025-07-09 Aimen Gaba , Emily Wall , Tejas Ramkumar Babu , Yuriy Brun , Kyle Hall , Cindy Xiong Bearfield

Large Language Models are increasingly employed in generating consumer product recommendations, yet their potential for embedding and amplifying gender and race biases remains underexplored. This paper serves as one of the first attempts to…

Computation and Language · Computer Science 2026-02-10 Ke Xu , Shera Potka , Alex Thomo

The aim of this paper is to present an original approach to estimate the gender pay gap. We propose a model-based decomposition, similar to the most popular approaches, where the first component measures differences in group characteristics…

Methodology · Statistics 2020-12-02 M. J. Lombardía , E. López-Vizcaíno , C. Rueda

The integration of large language models (LLMs) into healthcare holds promise to enhance clinical decision-making, yet their susceptibility to biases remains a critical concern. Gender has long influenced physician behaviors and patient…

The rapid growth of the digital platform economy is transforming labor markets, offering new employment opportunities with promises of flexibility and accessibility. However, these benefits often come at the expense of increased economic…

Computers and Society · Computer Science 2025-10-23 Clara Punzi

This paper resolves the empirical puzzle in the public-private wage literature: why studies using similar data reach contradictory conclusions about wage premiums and penalties. Utilizing rich French administrative panel data (2012-2019),…

General Economics · Economics 2025-10-21 Riddhi Kalsi

Although information and communication technologies (ICT) solutions have positive outcomes for both companies and employees, the digital transformation (DT) could have an impact on the well-being of employees. The jobs of the employees…

Computers and Society · Computer Science 2025-10-21 Ewa Makowska-Tłumak , Sylwia Bedyńska , Kinga Skorupska , Radosław Nielek

This paper investigates human dynamics in a large online dating site with 3,000 new users daily who stay in the system for 3 months on the average. The daily activity is also quite large such as 500,000 massage transactions, 5,000 photo…

Computers and Society · Computer Science 2012-11-07 Haluk O. Bingol , Omer Basar

The wide use of social media sites and other digital technologies have resulted in an unprecedented availability of digital data that are being used to study human behavior across research domains. Although unsolicited opinions and…

Social and Information Networks · Computer Science 2018-06-01 Nina Cesare , Christan Grant , Quynh Nguyen , Hedwig Lee , Elaine O. Nsoesie

Occupational segregation is widely considered as one major reason leading to the gender discrimination in labor market. Using large-scale Chinese resume data of online job seekers, we uncover an interesting phenomenon that occupations with…

Physics and Society · Physics 2022-01-11 Wei Bai , Zhongtao Yue , Tao Zhou

As organizations increasingly rely on professionally oriented networks such as LinkedIn (the largest such social network) for building business connections, there is increasing value in having one's profile noticed within the network. As…

Social and Information Networks · Computer Science 2020-06-03 Shalinda Adikari , Kaushik Dutta

We take a long term look at initial employment trends for new doctorates with an eye towards gender, citizenship, and gender and citizenship differences by analyzing data from 1991-2015 AMS-ASA-IMS-MAA- SIAM Annual Surveys. The data show…

History and Overview · Mathematics 2017-11-01 Marie A. Vitulli

Generative artificial intelligence (GenAI) is diffusing rapidly, yet its adoption is strikingly unequal. Using nationally representative UK survey data from 2023 to 2024, we show that women adopt GenAI substantially less often than men…

General Economics · Economics 2026-01-08 Fabian Stephany , Jedrzej Duszynski

We propose an equilibrium interaction model of occupational segregation and labor market inequality between two social groups, generated exclusively through the documented tendency to refer informal job seekers of identical "social color".…

Theoretical Economics · Economics 2022-12-27 I. Sebastian Buhai , Marco J. van der Leij

With the growing deployment of large language models (LLMs) across various applications, assessing the influence of gender biases embedded in LLMs becomes crucial. The topic of gender bias within the realm of natural language processing…

Computation and Language · Computer Science 2024-03-04 Jinman Zhao , Yitian Ding , Chen Jia , Yining Wang , Zifan Qian