Patterns and Dynamics of Netflix TV Show Popularity
Nahyeon Lee, Jongsoo Lim, and Hyeong-Chai Jeong

TL;DR
This study analyzes global Netflix TV show popularity patterns across 71 countries, revealing regional differences in viewing dynamics, synchronized consumption clusters, and directional content spread pathways using information-theoretic measures.
Contribution
It introduces an information-theoretic framework to quantify diversity, similarity, and directional relationships in international media consumption trends.
Findings
North America and Europe have highly dynamic viewing preferences.
East and Southeast Asia show persistent, regionally dominated trends.
Content spreads from ESA and South America to North America and Europe.
Abstract
The rise of platforms like Netflix has expanded the possibility for audiences worldwide to watch the same content simultaneously, motivating research on cross-country media consumption. We investigate the global dynamics of media consumption by analyzing daily top-ranked Netflix TV shows across 71 countries over a span of 822 days. Using an information-theoretic framework, we measure diversity, similarity, and directional relationships in consumption trends using Shannon entropy, mutual information, and Kullback-Leibler (KL) divergence. According to Shannon entropy analysis, North America and Europe have highly dynamic viewing preferences, whereas East and Southeast Asia (ESA) display more persistent trends, with the same shows often dominating for long periods. Mutual information identifies clear regional clusters of synchronized consumption, with particularly strong alignment among…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
