Good and Bad Science? Spanish-Speaking YouTube Users’ Comments on Science Content

Abstract In recent years, affective polarization has reached issues that were (at least previously) considered apolitical (see Rudolph & Hetherington. Affective polarization in political and nonpolitical settings. International Journal of Public Opinion Research, 33(3), 591–606, 2021. doi:10.1093/ijpor/edaa040). Perhaps the citizens’ reaction to coronavirus disease-2019 has helped to bring this relationship to its peak. This research proposes to analyze the response of YouTube users to the most popular videos on climate change, health, technology, and science in Spanish-speaking countries. To do this, the present work proposes an analysis using deep learning techniques. We selected the 50 videos with the highest number of views for each topic. Then, we adapt the linguistic models used to obtain the articles to index the degree of polarization. The strategy was twofold: first, using ratios and fluctuations between words; second, by measuring the affective distance both between the videos and the comments and between the comments prioritized by the platform’s moderation. The results show interesting data. First, the Spanish-speaking population does not behave similarly to the populations of Southern Europe, which are culturally related. Second, affective distance (which we propose is an indicator of polarization) does not grow over time and is not directly related to active participation in social media.

Authors

Institutions

Publication Details

Journal
International Journal of Public Opinion Research
Published
2024-12-21
DOI
https://doi.org/10.1093/ijpor/edae045
Citations
1
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Good and Bad Science? Spanish-Speaking YouTube Users’ Comments on Science Content

Ignacio-Jesús Serrano-Contreras, Óscar G. Luengo, Javier García Marín
1 citations
International Journal of Public Opinion Research
Climate Change Communication and Perception
1.13
article

Good and Bad Science? Spanish-Speaking YouTube Users’ Comments on Science Content

Ignacio-Jesús Serrano-Contreras, Óscar G. Luengo, Javier García Marín
article en
1 citations

Abstract

Abstract In recent years, affective polarization has reached issues that were (at least previously) considered apolitical (see Rudolph & Hetherington. Affective polarization in political and nonpolitical settings. International Journal of Public Opinion Research, 33(3), 591–606, 2021. doi:10.1093/ijpor/edaa040). Perhaps the citizens’ reaction to coronavirus disease-2019 has helped to bring this relationship to its peak. This research proposes to analyze the response of YouTube users to the most popular videos on climate change, health, technology, and science in Spanish-speaking countries. To do this, the present work proposes an analysis using deep learning techniques. We selected the 50 videos with the highest number of views for each topic. Then, we adapt the linguistic models used to obtain the articles to index the degree of polarization. The strategy was twofold: first, using ratios and fluctuations between words; second, by measuring the affective distance both between the videos and the comments and between the comments prioritized by the platform’s moderation. The results show interesting data. First, the Spanish-speaking population does not behave similarly to the populations of Southern Europe, which are culturally related. Second, affective distance (which we propose is an indicator of polarization) does not grow over time and is not directly related to active participation in social media.

International Journal of Public Opinion ResearchVol. 37(1)
Andalusian School of Public Health (ES)
Fundación Pública Andaluza Centro de Estudios Andaluces, Ministerio de Ciencia e Innovación
Openalex Percentile: Top 13%
Climate Change Communication and Perception
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.