Infodemic Versus Viral Information Spread: Key Differences and Open Challenges
Matteo Cinelli1, Francesco Gesualdo2
1Department of Computer Science, Sapienza University of Rome, Via Regina Elena 295, Rome, 00100, Italy, 39 3397898012.
JMIR Infodemiology
|May 7, 2025
Summary
Future infodemics pose significant public health risks. Advancing infodemiology is crucial for preparedness by distinguishing health-related infodemics from general viral information spread.
Area of Science:
- Public Health
- Data Science
- Information Science
Background:
- The COVID-19 pandemic highlighted the threat of infodemics.
- Artificial intelligence amplifies information risks in health crises.
- Proactive infodemiology is vital for future public health preparedness.
Purpose of the Study:
- To differentiate infodemics from general viral information spread.
- To analyze the unique characteristics of health-related infodemics.
- To identify challenges and future research directions in infodemiology.
Main Methods:
- Integrating data science and public health expertise.
- Examining distinctions in information production during infodemics versus viral spread.
- Analyzing context, information dynamics, misinformation, societal impact, and mitigation.
Main Results:
- Infodemics and viral spread differ in context, dynamics, misinformation roles, and societal impact.
- Key distinctions include association with health crises and information predictability.
- Challenges remain in defining the scale and scope of infodemics.
Conclusions:
- Robust differentiation between infodemics and viral spread is needed.
- Future research should focus on quantitative methods for tailored management strategies.
- Infodemiology requires ongoing development to address evolving information landscapes.
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