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Analyzing Spanish-Language YouTube Discourse During the 2025 Iberian Peninsula Blackout

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  • Dmitry Erokhin

    (International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria)

Abstract

This study investigates Spanish-language public discourse on YouTube following the unprecedented Iberian Peninsula blackout of 28 April 2025. Leveraging comments extracted via the YouTube Data API and analyzed with the OpenAI GPT-4o-mini model, it systematically examined 76,398 comments from 360 of the most relevant videos posted on the day of the event. The analysis explored emotional responses, sentiment trends, misinformation prevalence, civic engagement, and attributions of blame within the immediate aftermath of the blackout. The results reveal a discourse dominated by negativity and anger, with 43% of comments classified as angry and an overall negative sentiment trend. Misinformation was pervasive, present in 46% of comments, with most falsehoods going unchallenged. The majority of users attributed the blackout to government or political failures rather than technical causes, reflecting a profound distrust in institutions. Notably, while one in five comments included a call to action, only a minority offered constructive solutions, focusing mainly on infrastructure and energy reform. These findings highlight the crucial role of multilingual, real-time crisis communication and the unique information needs of Spanish-speaking populations during emergencies. By illuminating how rumors, emotions, and calls for accountability manifest in digital spaces, this study contributes to the literature on crisis informatics, digital resilience, and inclusive sustainability policy.

Suggested Citation

  • Dmitry Erokhin, 2025. "Analyzing Spanish-Language YouTube Discourse During the 2025 Iberian Peninsula Blackout," Societies, MDPI, vol. 15(7), pages 1-17, June.
    • Handle: RePEc:gam:jsoctx:v:15:y:2025:i:7:p:174-:d:1683972
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    References listed on IDEAS

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    1. Mingyun Gu & Haixiang Guo & Jun Zhuang & Yufei Du & Lijin Qian, 2022. "Social Media User Behavior and Emotions during Crisis Events," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
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