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Evidence record 18669 · automatically gathered

Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias

Popularity bias in recommendation systems arises when a majority user class generates disproportionate interaction data, causing the system to increasingly favour it while degrading recommendation quality for niche users. While extensive empirical evidence of popularity bias exists, the dynamics leading to its emergence are not well understood. In this work, we study the coupled evolution of recommender model updates and user engagement through the lens of dynamical systems. We formulate a stoch

Record details

Published: 11 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Bias & fairness
Retrieved: 12 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness

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How to cite this record

ethics.ai (11 August 2026), “Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias,” evidence record 18669, https://ethics.ai/record/18669 (originally published by arXiv cs.HC).

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