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This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (2249) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2654) Infodemiology and Infoveillance (1974) Mass Media/Social Media Communication and Campaigns (786) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1391) Mental Health Surveillance and Epidemiology (214) Outbreak and Pandemic Preparedness and Management (1956) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions 2023 (552) Theme Issue: Medical Informatics and COVID-19 (171) Theme Issue: Human Factors of the COVID-19 Outbreak (100) COVID-19 Vaccination (274) Vaccination Sentiment and Anti-Vaccination Infodemiology (106)

Published on in Vol 27 (2025)

This is a member publication of IDIAP Jordi Gol

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58656, first published .
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies

Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies

Authors of this article:

Adham Kahlawi1, 2 Author Orcid Image ;   Firas Masri3 Author Orcid Image ;   Wasim Ahmed4 Author Orcid Image ;   Josep Vidal-Alaball5, 6, 7 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

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  1. Ahmed W, Hardey M, Yavetz G. Health information communication and advocacy in the haemophilia community: an X-based analysis. Journal of Documentation 2025;81(4):927 View
  2. Papa V, Constantinou E, Lamprianou I. Examining users’ emotional responses to YouTube content during the Covid-19 crisis: A cross-country experiment. Communications 2026;51(1):294 View
  3. Zheng T, Huang M, Xu C, Liu S, Dong H, Ma X, Wang K. Sentiment Modeling of Cross-Cultural Public Opinion Communication: A Case Study of the 28 March 2025 Earthquake in Sagaing Province Based on the Improved MAML Algorithm. Applied Sciences 2026;16(10):4803 View
  4. Wiedermann C, Piccoliori G, Hager von Strobele Prainsack D, Ausserhofer D. Conditional Acceptance and the Optimism–Knowledge Gap: A Scoping Review of Attitudes and Perceptions of Artificial Intelligence in Healthcare in Italy. Medical Sciences 2026;14(2):276 View
  5. Feng Y, Feng Y. Research on low-altitude technology adoption in the green transformation of forest supply chains: A socio-technical co-construction perspective. Journal of Cleaner Production 2026;567:148648 View
  6. Müller F, Tomczyk S, Fiedrich F. Analyzing Social Media to Infer Mental Health Status and Affective States for Crisis and Disaster Management: Scoping Review. Journal of Medical Internet Research 2026;28:e79762 View

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  1. Lagili L, Gorrab S, Achour H. Artificial Intelligence and its Practical Applications. View

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  1. Lagili L, Gorrab S, Achour H. 2026 Intelligence in Business and Industry (IBI). TunVeCTM: A Topic Modeling Approach of Tunisian Dialect on Social Media View