The Power of Recommendations: Sculpting Culture in the Digital Era
Dana Oz, Moritz von Zahn, Maximilian Lowin, Shachar Reichman, Oliver Fast Hinz · 2025
Recommender systems (RS) have become an integral part of modern digital platforms, profoundly influencing how users access information and engage with cultural products. Through the sophisticated algorithms employed by ones like Amazon and Netflix, user behavior is carefully analyzed to offer personalized recommendations. Consequently, RS have the potential to elevate specific products or content to the status of “winners,” granting them increased visibility, consumption, and commercial success. As a result, these winners act as influential forces, shaping product-development trajectories, creative content, and broader cultural trends. In this contribution, we examine the intricate interplay between RS algorithms, user behavior, and content production. We highlight potentially harmful RS outcomes, such as the risk of cultural homogenization, and highlight the necessity for responsible RS design and user-centric approaches. Following these principles, we advocate for a more inclusive and diverse cultural landscape in the digital age, one ensuring that RS contribute positively to the evolution of our collective digital experience.