Proceedings of the ACM on Human-Computer Interaction· 2026Q2
Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job seekers’ Fairness Concerns
- 1citations
- Q2SCImago
- 2026year
Short summary
A new conceptual framework for fair online recruitment integrates job seekers' fairness concerns, identified from 1,000s of Reddit posts, with value sensitive design principles.
AI-generated from the title and abstract; the full text is not read.
Key points
- Job seekers' fairness concerns in online recruitment fall into four themes: personal attribute discrimination, interaction biases, qualification misinterpretations, and power imbalance.
- A conceptual framework for fair online recruitment is proposed, integrating these concerns with value sensitive design principles.
- The framework offers design implications for algorithms and interfaces at various stages of the hiring process.
- Analysis was informed by job seeker discussions from the r/jobs subreddit.
AI-generated from the title and abstract; the full text is not read.
Abstract
The susceptibility to biases and discrimination is a pressing issue in today’s labor markets. While digital recruitment systems play an increasingly significant role in human resource management, a systematic understanding of human-centered design principles for fair online hiring remains lacking, particularly considering the gap between idealized conceptualizations of fairness in research and actual fairness concerns expressed by job seekers. To address this gap, this work explores the potential of developing a fair recruitment framework based on job seekers’ fairness concerns shared in r/jobs, one of the largest online job communities. Through a grounded theory approach, we uncover four overarching themes of job seekers’ fairness concerns: personal attribute discrimination beyond legally protected attributes, interaction biases, improper interpretations of qualifications, and power imbalance. Drawing on value sensitive design, we derive design implications for fair algorithms and interfaces in recruitment systems, integrating them into a conceptual framework that spans different hiring stages.
The authors' abstract, as published at the source. Proceedings of the ACM on Human-Computer Interaction, 2026 · DOI ↗
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Field: Organizational Behavior and Human Resource Management
Organizational Behavior and Human Resource ManagementBusiness, Management and Accounting