Wouter Lammers, Sacha Ferrari, Sylvia Wenmackers, Valérie Pattyn, Steven Van de Walle
{"title":"Theories of Uncertainty Communication: An Interdisciplinary Literature Review","authors":"Wouter Lammers, Sacha Ferrari, Sylvia Wenmackers, Valérie Pattyn, Steven Van de Walle","doi":"10.1177/10755470241231290","DOIUrl":null,"url":null,"abstract":"This systematic literature review presents an interdisciplinary overview of theories tested in experiments on the effects of communicating uncertainty. Using a machine learning-aided pipeline, we selected and manually coded 413 experimental studies. We discuss core assumptions and predictions of the main theories of uncertainty communication. Most normative theorizing (e.g., Bayesianism, Expected Utility Theory) is rooted in Probability Theory, which is only suitable for addressing shallow and medium uncertainty. This explains the underrepresentation of experimental research into deep uncertainty communication. To foster a more comprehensive understanding of uncertainty communication effects, we identify research questions and theories deserving greater attention.","PeriodicalId":47828,"journal":{"name":"Science Communication","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/10755470241231290","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
This systematic literature review presents an interdisciplinary overview of theories tested in experiments on the effects of communicating uncertainty. Using a machine learning-aided pipeline, we selected and manually coded 413 experimental studies. We discuss core assumptions and predictions of the main theories of uncertainty communication. Most normative theorizing (e.g., Bayesianism, Expected Utility Theory) is rooted in Probability Theory, which is only suitable for addressing shallow and medium uncertainty. This explains the underrepresentation of experimental research into deep uncertainty communication. To foster a more comprehensive understanding of uncertainty communication effects, we identify research questions and theories deserving greater attention.
期刊介绍:
Science Communication is a prestigious journal that focuses on communication research. It is recognized globally for publishing top-quality manuscripts that demonstrate excellent theoretical frameworks and robust methodology. Our journal embraces a broad definition of science, encompassing not only the natural and physical sciences but also social science, technology, environment, engineering, and health. Regardless of the scientific area, effective communication is always the focal point of our investigations.
Apart from theoretical and methodological rigor, we place great emphasis on the practical implications of scientific communication. Therefore, we expect all submitted manuscripts to address the real-world applications and significance of their research, alongside theoretical considerations.
In summary, Science Communication is an internationally renowned journal dedicated to bridging the gap between science and society. By promoting effective communication in various scientific domains, we strive to engage readers with intriguing research that has tangible implications for the world around us.