科学传播
荟萃分析
风险沟通
计算机科学
心理学
认识论
数据科学
数学
科学教育
数学教育
统计
哲学
医学
内科学
作者
Guo Zaifu,Ke Liu,Meng Chen
标识
DOI:10.1177/10755470251314129
摘要
This meta-analysis synthesized 43 empirical articles to summarize the impact of communicating three distinct uncertainty types (i.e., epistemic uncertainty, consensus uncertainty, and technical uncertainty) in science communication. The results revealed divergent effects across these three uncertainty types. Specifically, communicating epistemic uncertainty was found to have a small yet positive effect on credibility perception ( d = 0.09), with a nonsignificant impact on attitudes. Conversely, communicating consensus uncertainty ( d = −0.12) and technical uncertainty ( d = −0.15) demonstrated a slight negative effect on attitudes, without impacting credibility perception. In addition, topic domain, cultural uncertainty avoidance, and text length were important moderators.
科研通智能强力驱动
Strongly Powered by AbleSci AI