A survey on skill identification from online job ads

I Khaouja, I Kassou, M Ghogho - IEEE Access, 2021 - ieeexplore.ieee.org
A changing job market, influenced by different factors such as globalization and
demographic growth, urges close monitoring. The digitization of the job market has given the …

[HTML][HTML] Enhancing understanding and addressing gender bias in IT/SE job advertisements

T Kanij, J Grundy, J McIntosh - Journal of Systems and Software, 2024 - Elsevier
Abstract The majority of Information Technology (IT)/Software Engineering (SE)
professionals are male. A potential reason for the low number of female IT/SE professionals …

A machine learning approach to recognize bias and discrimination in job advertisements

R Frissen, KJ Adebayo, R Nanda - AI & SOCIETY, 2023 - Springer
In recent years, the work of organizations in the area of digitization has intensified
significantly. This trend is also evident in the field of recruitment where job application …

Decoding bias: Gendered language in finance internship job postings

E Oldford, J Fiset - Journal of Behavioral and Experimental Finance, 2021 - Elsevier
The purpose of this article is to evaluate the language content of job postings as a potential
explanation for the gender imbalance in the finance industry. We conduct two interlinked …

A new approach towards ensuring gender inclusive se job advertisements

T Kanij, J Grundy, J McIntosh, A Sarma… - Proceedings of the 2022 …, 2022 - dl.acm.org
A majority of software engineers are male, perhaps, because of the very way that software
engineering (SE) roles are advertised is gender biased. Thus far, only word-based checking …

Recruiting Women in the Workplace: A Review of Empirical Research

CR Wanberg, Y Song, SM Yoo - Essentials of Employee …, 2024 - taylorfrancis.com
Many factors may influence women's decision to apply to a given job, including attributes of
the organization or industry, characteristics of a job and the depth of information provided …

[HTML][HTML] Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling

S Tyagi, W Qian, J Xie, R Andrews - International Journal of Information …, 2024 - Elsevier
Our work aims to mitigate gender bias within word embeddings and investigates the effects
of these adjustments on enhancing fairness in resume job-matching problems. By …

Skills requirements across task-content groups in Poland: What online job offers tell us

L Arendt, E Gałecka-Burdziak, F Núñez, R Pater… - … Forecasting and Social …, 2023 - Elsevier
Dynamic digitalisation has a profound impact on labour markets, leading to routinisation and
job polarisation processes. Most studies on labour polarisation use employment data to …

Gendered information in resumes and hiring bias: A predictive modeling approach

P Parasurama, J Sedoc, A Ghose - Available at SSRN 4074976, 2022 - papers.ssrn.com
We study if men and women with similar job-relevant characteristics write their resumes
differently, and if so, how this difference affects hiring outcomes using a predictive modeling …

Anticipated chilly climate for women: the development and validation of a measure

P Puncheva-Michelotti, S Hudson… - Employee Relations …, 2024 - emerald.com
Purpose This study develops a measure of anticipated chilly climate for women and
provides initial evidence of its validity. Design/methodology/approach We draw on three …