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.

Publication date: Jan 27, 2025

The COVID-19 pandemic reshaped social dynamics, fostering reliance on social media for information, connection, and collective sense-making. Understanding how citizens navigate a global health crisis in varying cultural and economic contexts is crucial for effective crisis communication. This study examines the evolution of citizen collective sense-making during the COVID-19 pandemic by analyzing social media discourse across Italy, the United Kingdom, and Egypt, representing diverse economic and cultural contexts. A total of 755,215 social media posts from X (formerly Twitter) were collected across 3 time periods: the virus’ emergence (February 15 to March 31, 2020), strict lockdown (April 1 to May 30, 2020), and the vaccine rollout (December 1, 2020 to January 15, 2021). In total, 284,512 posts from Italy, 261,978 posts from the United Kingdom, and 209,725 posts from Egypt were analyzed using the latent Dirichlet allocation algorithm to identify key thematic topics and track shifts in discourse across time and regions. The analysis revealed significant regional and temporal differences in collective sense-making during the pandemic. In Italy and the United Kingdom, public discourse prominently addressed pragmatic health care measures and government interventions, reflecting higher institutional trust. By contrast, discussions in Egypt were more focused on religious and political themes, highlighting skepticism toward governmental capacity and reliance on alternative frameworks for understanding the crisis. Over time, all 3 countries displayed a shift in discourse toward vaccine-related topics during the later phase of the pandemic, highlighting its global significance. Misinformation emerged as a recurrent theme across regions, demonstrating the need for proactive measures to ensure accurate information dissemination. These findings emphasize the role of cultural, economic, and institutional factors in shaping public responses during health crises. Crisis communication is influenced by cultural, economic, and institutional contexts, as evidenced by regional variations in citizen engagement. Transparent and culturally adaptive communication strategies are essential to combat misinformation and build public trust. This study highlights the importance of tailoring crisis responses to local contexts to improve compliance and collective resilience.

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Concepts Keywords
February attitude
Pandemic citizen opinion
Tailoring content analysis
Twitter COVID-19
COVID-19
Cross-Cultural Comparison
Data Mining
dataset
Developing Countries
developing economies
Egypt
Egypt
Global Health
health crisis
Humans
infectious
Italy
Italy
latent Dirichlet allocation
LDA
machine learning
pandemic
Pandemics
perception
perspective
public health
Public Opinion
SARS-CoV-2
SARS-CoV-2
sentiment
Social Media
social media
text mining
tweet
twitter
UK
United Kingdom
vaccination
vaccine

Semantics

Type Source Name
disease MESH COVID-19 Pandemic
disease IDO algorithm
disease IDO role
disease MESH Pica
disease MESH emergencies
disease MESH Black Death
disease MESH Influenza
disease IDO country
disease MESH uncertainty
disease IDO process
drug DRUGBANK Tropicamide
drug DRUGBANK Isoxaflutole
drug DRUGBANK Etoperidone
pathway REACTOME Vitamins
disease MESH infections
drug DRUGBANK Oxygen
disease MESH death
disease IDO intervention
drug DRUGBANK Alpha-1-proteinase inhibitor
drug DRUGBANK Coenzyme M
disease MESH panic
disease MESH obesity
disease MESH autism
pathway REACTOME Reproduction

Original Article

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