Topic
Topic
Risk Analysis
Public beliefs about risks matter—from financial investments to drug side-effects
Setup
Design
R
Realized in R-Statistics, JavaScript, and Qualtrics
Finding solutions to better risk communication through labeling, using real-world data.
To gain insights into how risks are perceived by people, who are not experts in risk assessment, we used a mixed-method approach: We investigated the role of communication in the understanding of risks, analyzing data from two large risk perception data sets merged with open-text responses about risks in combination with an analysis of real-world web-based evidence about risk magnitudes.