Examining the Role of YouTube Production and Consumption Dynamics on the Formation of Extreme Ideologies

2026-03-09

AI Summary

This study investigates how the dynamic interplay between content production and consumption on algorithm-driven platforms such as YouTube contributes to users’ ideological radicalization. Drawing on one year of viewing logs from 1,100 U.S. participants alongside two waves of longitudinal ideological surveys, the research integrates large-scale behavioral analysis, time-series modeling, and affective and discursive coding of content to systematically uncover, for the first time, a bidirectional feedback mechanism between producers and consumers in the radicalization process. The findings reveal that users trending toward ideological extremes prefer content marked by anger and resentment, and that their consumption patterns and content production exhibit significant co-constitutive dynamics—thereby transcending prior approaches that focused narrowly on either users or algorithms alone.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Machine Learning: Learning Preferences or Rankings
• Game Theory and Economic Paradigms: Behavioral Game Theory

Application Category

• User Modeling, Personalization and Recommendation: Studies of user behavior, including longitudinal effects of personalized systems
• Web Mining and Content Analysis: Content-based information diffusion
• Social Networks and Social Media: Media and governance, opinion dynamics, filter bubbles, polarization

Abstract

The relationship between content production and consumption on algorithm-driven platforms like YouTube plays a critical role in shaping ideological behaviors. While prior work has largely focused on user behavior and algorithmic recommendations, the interplay between what is produced and what gets consumed, and its role in ideological shifts remains understudied. In this paper, we present a longitudinal, mixed-methods analysis combining one year of YouTube watch history with two waves of ideological surveys from 1,100 U.S. participants. We identify users who exhibited significant shifts toward more extreme ideologies and compare their content consumption and the production patterns of YouTube channels they engaged with to ideologically stable users. Our findings show that users who became more extreme consumed have different consumption habits from those who do not. This gets amplified by the fact that channels favored by users with extreme ideologies also have a higher affinity to produce content with a higher anger, grievance and other such markers. Lastly, using time series analysis, we examine whether content producers are the primary drivers of consumption behavior or merely responding to user demand.

Problem

• YouTube
• extreme ideologies
• content production
• content consumption
• ideological shifts

Innovation

• YouTube
• extreme ideologies
• content production-consumption dynamics
• longitudinal mixed-methods
• algorithmic platforms