Popularity Feedback Constrains Innovation in Cultural Markets

2026-02-10

AI Summary

This study investigates how popularity feedback influences collective creativity and innovation dynamics in cultural markets. Through a large-scale online experiment (N = 1,008) employing an iterative select-and-modify paradigm, participants repeatedly selected and altered images across multiple rounds, with experimental manipulation of whether popularity information about others’ contributions was visible. The results demonstrate that exposure to popularity signals not only reduces cultural diversity through cumulative advantage mechanisms but also significantly suppresses creators’ tendency to make disruptive modifications. This dual effect slows the pace of aesthetic evolution and systematically reshapes users’ selection preferences and creative strategies. These findings reveal a suppressive impact of popularity feedback on both the selection and creation pathways in cultural evolution, offering empirical evidence for understanding how algorithmic recommendation systems may constrain collective creativity.

Technology Category

• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Machine Learning: Learning Preferences or Rankings
• Humans and AI: Crowd Sourcing and Human Computation

Application Category

• Economics, Online Markets and Human Computation: Fairness, privacy, and diversity in economic environments
• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Web Mining and Content Analysis: Content-based information diffusion

Abstract

Real-world creative processes ranging from art to science rely on social feedback-loops between selection and creation. Yet, the effects of popularity feedback on collective creativity remain poorly understood. We investigate how popularity ratings influence cultural dynamics in a large-scale online experiment where participants ($N = 1\,008$) iteratively \textit{select} images from evolving markets and \textit{produce} their own modifications. Results show that exposing the popularity of images reduces cultural diversity and slows innovation, delaying aesthetic improvements. These findings are mediated by alterations of both selection and creation. During selection, popularity information triggers cumulative advantage, with participants preferentially building upon popular images, reducing diversity. During creation, participants make less disruptive changes, and are more likely to expand existing visual patterns. Feedback loops in cultural markets thus not only shape selection, but also, directly or indirectly, the form and direction of cultural innovation.

Problem

• popularity feedback
• cultural markets
• collective creativity
• innovation
• cultural diversity

Innovation

• popularity feedback
• cultural markets
• collective creativity
• cumulative advantage
• disruptive innovation