Resumen

HUERTA WONG, Juan Enrique; CASTANEDA VALENCIA, Alejandro Miguel  y  MANZANO MORA, Francisco Javier. Polarization and simmilarity in media and mexican government in facing the covid-19 pandemia. Estud. derecho inf. [online]. 2023, n.16, pp.51-77.  Epub 20-Jun-2024. ISSN 2594-0082.  https://doi.org/10.22201/iij.25940082e.2023.16.18071.

By using a triple machine learning approach, we conduct a content analysis on dos million bites of Mexican government information, and 28, 127 news and opinion columns published in 2020, relating to COVID pandemia. Findings report similarity in news and polarization in opinion columns. This means that news covered accurately Health General Council recommendations, but comments in media tended to distort what this group of professionals in Medicine provided with the objective of protect Mexicans’ lives. Those findings bring media social responsibility and right to information to the further discussions of COVID-19, the most serious health crisis in Mexico history.

Palabras llave : COVID-19; media; communication and media; mass media studies; methods; machine learning; information polarization.

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