Deroover Kristine, Knight Simon, Burke Paul F, Bucher Tamara
University of Technology Sydney, Australia.
University of Newcastle, Australia.
Public Underst Sci. 2023 Feb;32(2):224-246. doi: 10.1177/09636625221110029. Epub 2022 Aug 1.
People are increasingly exposed to conflicting health information and must navigate this information to make numerous decisions, such as which foods to consume, a process many find difficult. Although some consumers attribute these disagreements to aspects related to uncertainty and complexity of research, many use a narrower set of credibility-based explanations. Experts' views on disagreements are underinvestigated and lack explicit identification and classification of the differences in causes for disagreement. Consequently, there is a gap in existing literature to understand the range of reasons for these contradictions. Combining the findings from a literature study and expert interviews, a taxonomy of disagreements was developed. It identifies 10 types of disagreement classified under three dimensions: informant-, information- and uncertainty-related causes for disagreement. The taxonomy may assist with adoption of more effective strategies to deal with conflicting information and contributes to research and practice of science communication in the context of disagreement.
人们越来越多地接触到相互矛盾的健康信息,并且必须梳理这些信息以做出众多决策,比如选择食用哪些食物,而许多人发现这一过程颇具难度。尽管一些消费者将这些分歧归因于研究的不确定性和复杂性等方面,但许多人采用的是一套更狭义的基于可信度的解释。专家对分歧的看法研究不足,且缺乏对分歧原因差异的明确识别和分类。因此,现有文献在理解这些矛盾的各种原因方面存在空白。结合文献研究和专家访谈的结果,开发了一种分歧分类法。它识别出10种分歧类型,分为三个维度:与信息提供者、信息以及不确定性相关的分歧原因。该分类法可能有助于采用更有效的策略来处理相互矛盾的信息,并有助于在存在分歧的背景下开展科学传播的研究与实践。