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<p>This paper aims to analyze sentiment and emotions in news articles and user comments following the devastating floods that took place in Valencia on October 29, 2024, which caused 229 deaths, extensive damage, and significant public concern. The study focuses on news articles about two key politicians: Carlos Mazón, leader of the Valencian Popular Party (PP) and President of the Generalitat Valenciana, and Teresa Ribera, Third Vice President of Spain and former Minister for the Ecological Transition (PSOE). Our corpora comprise news articles and their user comments published during the 15-day window following the disaster (2024-10-30 to 2024-11-13) across four Spanish newspapers with different political orientations: <i>El País</i>, <i>elDiario.es</i>, <i>El Mundo</i>, and <i>El Confidencial</i>. The news articles were automatically extracted and preprocessed to standardize their format and prepare them for computational analysis. The images of these news articles were also included for a preliminary multimodal analysis approach to explore the semantic relations between linguistic structures and images. Emotion analysis was carried out employing Artificial Intelligence models to quantify the emotional load of news articles and comments from online readers. Large Language Models were used to automatically detect emotions expressed through linguistic expressions targeting both politicians.</p>

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Computational Multimodal Analysis of Polarized Political Discourse After the DANA in Valencia

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Guillem Soler Sanz,
  • María Aloy Mayo,
  • Paolo Rosso

摘要

This paper aims to analyze sentiment and emotions in news articles and user comments following the devastating floods that took place in Valencia on October 29, 2024, which caused 229 deaths, extensive damage, and significant public concern. The study focuses on news articles about two key politicians: Carlos Mazón, leader of the Valencian Popular Party (PP) and President of the Generalitat Valenciana, and Teresa Ribera, Third Vice President of Spain and former Minister for the Ecological Transition (PSOE). Our corpora comprise news articles and their user comments published during the 15-day window following the disaster (2024-10-30 to 2024-11-13) across four Spanish newspapers with different political orientations: El País, elDiario.es, El Mundo, and El Confidencial. The news articles were automatically extracted and preprocessed to standardize their format and prepare them for computational analysis. The images of these news articles were also included for a preliminary multimodal analysis approach to explore the semantic relations between linguistic structures and images. Emotion analysis was carried out employing Artificial Intelligence models to quantify the emotional load of news articles and comments from online readers. Large Language Models were used to automatically detect emotions expressed through linguistic expressions targeting both politicians.