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The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain

Author

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  • Patricia P. Iglesias-Sánchez

    (Department of Economic and Business Administration, University of Malaga, 29071 Málaga, Spain)

  • Gustavo Fabián Vaccaro Witt

    (Department of Languages and Computer Sciences. Biomedical Research Institute (IBIMA), Applied Social Research Centre (CISA), University of Malaga, 29071 Málaga, Spain)

  • Francisco E. Cabrera

    (Department of Languages and Computer Sciences. Biomedical Research Institute (IBIMA), Applied Social Research Centre (CISA), University of Malaga, 29071 Málaga, Spain)

  • Carmen Jambrino-Maldonado

    (Department of Economic and Business Administration, University of Malaga, 29071 Málaga, Spain)

Abstract

This study examines how confinement measures established during the COVID-19 pandemic crisis affected the emotions of the population. For this purpose, public sentiment on social media and digital ecosystems in Spain is analyzed. We identified affective tones towards media and citizens published on social media focusing on six basic emotions: anger, fear, joy, sadness, disgust and uncertainty. The main contribution of this work is the evidence of contagious sentiments and, consequently, the possibility of using this new dimension of social media as a form of a “collective therapy”. This paper contributes to understanding the impact of confinement measures in a pandemic from the point of view of emotional health. This analysis provides a set of practical implications that can guide conceptual and empirical work in health crisis management with an alternative approach, especially useful for decision-making processes facing emergency responses and health crises, even in an unprecedented global health crisis such as the traumatic events caused by the COVID-19 disease.

Suggested Citation

  • Patricia P. Iglesias-Sánchez & Gustavo Fabián Vaccaro Witt & Francisco E. Cabrera & Carmen Jambrino-Maldonado, 2020. "The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain," IJERPH, MDPI, vol. 17(16), pages 1-10, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5918-:d:399342
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    References listed on IDEAS

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    1. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
    2. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
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    Cited by:

    1. Ziqiang Han & Mengfan Shen & Hongbing Liu & Yifan Peng, 2022. "Topical and emotional expressions regarding extreme weather disasters on social media: a comparison of posts from official media and the public," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    2. Andrea Castro-Martinez & Paula Méndez-Domínguez & Aimiris Sosa Valcarcel & Joaquín Castillo de Mesa, 2021. "Social Connectivity, Sentiment and Participation on Twitter during COVID-19," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    3. Hyehyun Hong & Hyo Jung Kim, 2020. "Antecedents and Consequences of Information Overload in the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(24), pages 1-15, December.
    4. Fernando Olivares-Delgado & Patricia P. Iglesias-Sánchez & María Teresa Benlloch-Osuna & Carlos de las Heras-Pedrosa & Carmen Jambrino-Maldonado, 2020. "Resilience and Anti-Stress during COVID-19 Isolation in Spain: An Analysis through Audiovisual Spots," IJERPH, MDPI, vol. 17(23), pages 1-23, November.
    5. Wei Chen & Yijun Shi & Liwen Fan & Lijun Huang & Jingyi Gao, 2021. "Influencing Factors of Public Satisfaction with COVID-19 Prevention Services Based on Structural Equation Modeling (SEM): A Study of Nanjing, China," IJERPH, MDPI, vol. 18(24), pages 1-18, December.
    6. Sumayh S. Aljameel & Dina A. Alabbad & Norah A. Alzahrani & Shouq M. Alqarni & Fatimah A. Alamoudi & Lana M. Babili & Somiah K. Aljaafary & Fatima M. Alshamrani, 2020. "A Sentiment Analysis Approach to Predict an Individual’s Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia," IJERPH, MDPI, vol. 18(1), pages 1-12, December.
    7. Domingo Palacios-Ceña & César Fernández-de-las-Peñas & Lidiane L. Florencio & Ana I. de-la-Llave-Rincón & María Palacios-Ceña, 2020. "Emotional Experience and Feelings during First COVID-19 Outbreak Perceived by Physical Therapists: A Qualitative Study in Madrid, Spain," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
    8. Wen Shi & Diyi Liu & Jing Yang & Jing Zhang & Sanmei Wen & Jing Su, 2020. "Social Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    9. Carlos de las Heras-Pedrosa & Carmen Jambrino-Maldonado & Dolores Rando-Cueto & Patricia P. Iglesias-Sánchez, 2022. "COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science," IJERPH, MDPI, vol. 19(3), pages 1-29, February.

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