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How algorithmic popularity bias hinders or promotes quality.

Giovanni Luca Ciampaglia1, Azadeh Nematzadeh2, Filippo Menczer3,2

  • 1Indiana University Network Science Institute, Bloomington, Indiana, USA. glciampagl@gmail.com.

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Summary
This summary is machine-generated.

Popularity bias in algorithms can hinder content quality. However, a narrow intermediate user attention range allows popularity to effectively promote high-quality items, balancing exploration costs.

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Area of Science:

  • Algorithmic studies
  • Information science
  • Sociology of technology

Background:

  • Algorithms often favor popular items for selection across various domains, aiming to surface high-quality content.
  • Previous research suggests popularity bias can amplify fluctuations and lead to suboptimal rankings, despite assumptions of quality promotion.
  • The effectiveness of popularity as a proxy for quality in techno-social systems remains a key question.

Purpose of the Study:

  • To identify conditions under which popularity serves as a viable proxy for high-quality content.
  • To investigate the role of cognitive exploration costs in the trade-off between quality and popularity.
  • To understand the nuanced effects of algorithmic popularity bias on content quality outcomes.

Main Methods:

  • Development and analysis of a simplified model of a cultural market with inherent quality.
  • Inclusion of a parameter representing cognitive exploration cost to modulate the quality-popularity balance.
  • Examination of the model's behavior across different levels of exploration cost.

Main Results:

  • Popularity bias is detrimental to quality at low and high levels of exploration cost.
  • A critical intermediate regime of user attention was identified where popularity can effectively promote quality.
  • The cognitive cost of exploration critically influences whether popularity aids or hinders the emergence of quality content.

Conclusions:

  • Algorithmic popularity bias has complex effects on content quality, contingent on user attention and exploration costs.
  • A balanced user attention mechanism can leverage popularity to surface high-quality items.
  • Findings can inform the design of more effective mechanisms for techno-social cultural markets.