The amplification of risk in experimental diffusion chains.

Area of Science:

• Social psychology
• Risk communication
• Behavioral science

Background:

• Understanding public risk perception is crucial for effective risk communication and managing societal anxiety.
• Public responses to hazards like climate change and pandemics are complex and unpredictable.
• Limited understanding exists on how risk perception changes through social transmission and its population-level impact.

Purpose of the Study:

• To investigate the social dynamics of risk perception.
• To analyze how messages about risks change during social propagation.
• To understand the impact of repeated social transmission on population-level risk perception.

Main Methods:

• Experimental diffusion chains with 10 subjects each.
• Analysis of message changes during propagation.
• Computer simulations of social influence mechanisms on risk perception.

Main Results:

• Propagated messages become shorter, less accurate, and more dissimilar across chains.
• Risk perception is transmitted with higher fidelity as individuals align messages with preconceptions.
• Simulations show biases becoming more extreme, even against contradictory information.

Conclusions:

• Social transmission distorts risk messages but amplifies individual risk perception biases.
• This social amplification of risk can lead to exaggerated risk judgments at the population level.
• Findings aid policymakers in anticipating and managing public responses to emerging threats.