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Because You Watched: How Do Streaming Services' Recommender Systems Influence Aesthetic Choice?

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Summary

Algorithmic recommender systems shape media choices, influencing aesthetic preferences. This study explores how these systems impact individual entertainment decisions and overall well-being.

Keywords:
aesthetic experiencealgorithmic recommender systemsaudiovisual mediadecision-makingentertainment preferencesmedia psychologywell-being

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Area of Science:

  • Media Studies
  • Human-Computer Interaction
  • Psychology

Background:

  • Streaming services use algorithmic recommender systems for personalized media curation.
  • These systems raise concerns about their influence on users' aesthetic choices and entertainment engagement.
  • The intersection of algorithms, media, and personal preferences is a growing area of study.

Purpose of the Study:

  • To examine the relationship between recommender systems and individual aesthetic choices.
  • To explore how algorithmic curation affects entertainment preferences and well-being.
  • To synthesize literature from media studies, psychology, and computer science.

Main Methods:

  • Literature review across disparate fields: media, algorithms, aesthetic choice, entertainment preferences, and well-being.
  • Exploration of the concept of aesthetic choice as a low-stake decision process.
  • Analysis of incremental and cumulative decision-making in media consumption.

Main Results:

  • Recommender systems significantly influence how individuals engage with and select entertainment media.
  • Aesthetic choices, often low-stake, cumulatively shape an individual's aesthetic life and well-being.
  • The impact of recommender systems on aesthetic development is complex and warrants further investigation.

Conclusions:

  • Algorithmic recommender systems play a crucial role in shaping aesthetic preferences in the digital age.
  • Understanding the interplay between technology, choice, and well-being is essential.
  • Future research should address the evolving landscape of algorithmic influence on personal taste and fulfillment.