Over the past few years, many of us have grappled with questions like:
- Why do some countries achieve high vaccination rates while others struggle?
- Why are people in certain regions more willing to get vaccinated, while others fall prey to rumors and panic?
- Why does the same public health message succeed in one country but fail in another?
These disparities cannot be explained solely by factors such as misinformation or trust in government. Culture—often overlooked—may play a powerful yet invisible role in shaping how people receive information, influence others, and revise their beliefs.
In the article “How culture can affect opinion dynamics: the case of vaccination”, published in the Journal of Computational Social Science (2025), Li, Flache, and Jager construct a culturally informed opinion dynamics model to explore how culture conditions social influence, opinion formation, and collective attitudes toward vaccination.
Bridging cultural psychology and computational social science, the study integrates Hofstede’s cultural dimensions into an agent-based model (ABM), offering new insights into vaccine hesitancy and group polarization.
Modeling Culture: Virtual Experiments on Cross-Cultural Opinion Dynamics
While prior research often treated culture as an abstract background variable, this study made it computable.
Using agent-based modeling, the authors created virtual societies where artificial individuals (agents) interact and exchange views on vaccination within a social network. These interactions are shaped by cultural parameters, such as collectivism, individualism, and power distance.
Several simulation scenarios were designed to reflect varying institutional and social contexts, including:
- Pure social influence without institutional intervention
- Settings with centralized vs. decentralized authority
The study systematically examined how culture modulates two key outcomes:
- Opinion consensus
- Opinion polarization
This study draws on Hofstede’s cultural dimensions theory from cultural psychology and transforms it into model parameters, thereby constructing a social system with explicit cultural characteristics.
Key observations include:
- In more collectivist societies, people tend to care more about the attitudes of those around them and are more likely to conform to mainstream opinions.
- In more individualistic societies, individuals are more likely to stick to their own views.
- In high power distance cultures, people are more inclined to follow the opinions of authority figures.
- In low power distance cultures, individuals are more likely to be influenced by peers, friends, or family.
Key Findings: Culture Shapes Both Attitudes and Polarization Risks
✅ Collectivism doesn’t always foster consensus
- In the absence of institutional influence, collectivist cultures promote convergence.
- But when authority is fragmented or inconsistent, collectivism can amplify polarization.
This challenges the assumption that collectivist societies are always more stable, offering a conditional view of cultural effects.
✅ Power distance conditions the impact of authority
- In high power-distance cultures, people are more likely to adopt views promoted by elites or institutions.
- In low power-distance cultures, peer influence dominates, and authority holds less sway.
This finding informs how cultural structures modulate the flow and acceptance of public health messaging.
✅ Decentralization of authority isn’t always beneficial
- Simulations reveal that when authority is unified, moderate information diffusion minimizes polarization.
- When authority figures diverge in their messages, polarization intensifies, especially under strong but opposing elite voices.
This has implications for media coordination, government communication, and multi-level governance.
✅ The most polarizing cultural configuration
- The riskiest combination is:
Individualism + High Power Distance + Divided Authority (e.g., U.S., UK, Brazil)
This model can be used to forecast polarization risks in diverse cultural-institutional settings.
✅ A three-dimensional framework: Culture × Institutions × Network Structure
The authors propose a new theoretical model that synthesizes these three dimensions, offering a roadmap for future research on opinion dynamics and cultural diversity.
🌐 Broader Implications: Culture as the Hidden Rule of Opinion Change
Culture not only shapes what we believe, but also how we change our beliefs—and how we persuade others.
This may explain why some countries manage pandemic communication more effectively: it’s not just about better policies, but also about cultural alignment.
The model shows how culture serves as an “invisible rulebook” in public opinion dynamics—rules that computational simulation can help us anticipate and test.
💡 Practical Takeaways
For the public:
Next time you find yourself arguing about vaccines, consider this: the person you’re debating might simply be running on a different cultural “script.”
For policymakers:
Avoid one-size-fits-all communication strategies. This study shows how tailored messaging based on cultural context can make a significant difference:
-
Individualist + High Power Distance societies
(e.g., U.S., UK, Brazil):
→ High risk of opinion fragmentation.
→ Avoid conflicting messages between authorities.
→ Emphasize “personal freedom + scientific evidence” with consistent authoritative voices. -
Collectivist + High Power Distance societies
(e.g., China, Mexico, Iran):
→ Unified and authoritative messaging is highly effective.
→ Emotional appeals like “protect your family” or “national responsibility” resonate well. -
Collectivist + Low Power Distance societies
(e.g., Netherlands, Nordic countries, New Zealand):
→ Consensus-driven but skeptical of top-down commands.
→ Emphasize community dialogue and participatory approaches over coercive messaging.
📄 Reference
Li, T., Flache, A., & Jager, W. (2025). How culture can affect opinion dynamics: the case of vaccination. Journal of Computational Social Science, 8(1), 1–45.
https://doi.org/10.1007/s42001-024-00347-7