Algorithmic Structure and Interaction Dynamics on YouTube during the Pandemic

Authors

DOI:

https://doi.org/10.29105/gmjmx23.44-553

Keywords:

digital public opinion, social media algorithms, spiral of silence, echo chambers

Abstract

This study examines the dynamics of user interaction on YouTube during the evening press conferences on COVID-19 in Mexico, considering the interplay between algorithms, network structures, and critical events of the pandemic. Drawing on a corpus of 75,400 comments, the study employs sentiment analysis, reply network analysis, and time-series analysis to assess how algorithmic architecture mediates the visibility of discourses and the expression of dissenting voices. The findings indicate that selective visibility amplifies certain discourses, dense networks may foster interactive encapsulation, and critical events can generate temporary openings for interaction. The study demonstrates how the premises of the Spiral of Silence and echo chambers materialize on digital platforms, underscoring that algorithms are not neutral and that more equitable designs could promote more inclusive citizen expression in contexts of high public relevance.

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Published

2026-01-30

How to Cite

Cruz-Mendoza, E. (2026). Algorithmic Structure and Interaction Dynamics on YouTube during the Pandemic. Global Media Journal México, 23(44), 57–80. https://doi.org/10.29105/gmjmx23.44-553