{
  "id": 18294,
  "url": "https://arxiv.org/abs/2608.09899v1",
  "title": "Fairness in Link Prediction Beyond Demographic Parity: A Reproducibility Study",
  "summary": "In fair ranked link prediction, demographic parity ($Δ_\\mathrm{DP}$) is a common fairness metric. Yet, Mattos et al. (2025) argue that it fails to detect exposure bias because it ignores where links appear in the ranking. In this study, we reproduce this claim by showing that $Δ_\\mathrm{DP}$ can indicate aggregate parity even when some subgroup-pair links are systematically ranked lower than others. The proposed rank-aware Normalized Discounted KL-divergence (NDKL), however, does detect such dis",
  "authors": "Valentijn Oldenburg, Floris de Kam, Stef de Wildt, Jarno Nilson Balk",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T17:47:19.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "x-arxiv-fairness-query",
  "source_name": "arXiv fairness query",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18294",
  "original_url": "https://arxiv.org/abs/2608.09899v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}