Predictable Drifts in Collective Cultural Attention: Evidence from Nation-Level Library Takeout Data
This research addresses the problem of forecasting cultural trends for market and recommender systems, though it is incremental as it builds on prior work on consumer attention limits.
The study tackled the challenge of predicting shifts in collective cultural attention by analyzing five years of nationwide library loan data, finding that cultural drift occurs at a near-constant rate with growing divergence over time and varies by genre, influenced by demographic factors.
Predicting changes in consumer attention for cultural products, such as books, movies, and songs, is notoriously difficult. Past research suggests intrinsic limits for predicting consumer attention towards individual products. However, little is known about the limits for predicting shifts in collective attention. Here, we analyze five years of nationwide library loan data for almost 3 million individuals, comprising over 136 million loans of more than 750,000 unique titles. We find that culture, as measured by popularity distributions of loaned books, drifts continually from month to month at a near-constant rate, leading to a growing divergence over time, and that drift varies between book genres. By linking book loans to registry data, we investigate the influence of age, sex, educational level, and residential area type on cultural drift, finding heterogeneous effects. Our findings have important implications for market forecasting and algorithmic recommender systems, highlighting the need to account for drift dynamics.