The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
Not on the map. Why?
Abstract (arXiv)
Diversity-aware platform design is a paradigm that responds to the ethical challenges of existing social media platforms. Available platforms have been criticized for minimizing users' autonomy, marginalizing minorities, and exploiting users' data for profit maximization. This paper presents a design solution that centers the well-being of users. It presents the theory and practice of designing a diversity-aware platform for social relations. In this approach, the diversity of users is leveraged in a way that allows like-minded individuals to pursue similar interests or diverse individuals to complement each other in a complex activity. The end users of the envisioned platform are students, who participate in the design process. Diversity-aware platform design involves numerous steps, of which two are highlighted in this paper: 1) defining a framework and operationalizing the "diversity" of students, 2) collecting "diversity" data to build diversity-aware algorithms. The paper further reflects on the ethical challenges encountered during the design of a diversity-aware platform.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Feb 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.
3 papers.
- 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practicecited by 86
- 2024M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Trainingcited by 8
- 2026Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interactioncited by 3
- 2026Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction30 Jan 2026
- 2024M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training26 Apr 2024
- 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice2 Oct 2023