“这项研究有多可信？”设计一种工具以帮助读者理解科学新闻中的证据与不确定性
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism
AI总结：
本研究通过设计与科普网站合作开发了“科学证据指示器”工具，利用元数据和视觉信息帮助读者评估健康科学新闻中的证据强度，以区分科学与伪科学，评估显示其能帮助识别同行评审研究，但深入理解仍有挑战，未来可针对记者开发类似工具。
摘要：
本文报告了一项通过设计进行研究（Research through Design）的研究，探讨如何设计一种工具，利用文本和视觉信息，帮助科学新闻的读者理解健康科学新闻报道中科学证据的强度和不确定性。核心目标是教导读者评估科学证据的标准，特别是帮助读者区分科学与伪科学。通过与一个科普网站进行野外研究（research-in-the-wild）合作，本研究展示了“科学证据指示器”（Scientific Evidence Indicator）的设计与评估，该工具利用科学出版物的元数据向读者展示证据强度的评估。对该设计的评估表明，在帮助读者识别研究是否经过科学同行评审方面取得了一定成功，但也指出在促进更深入理解方面存在挑战。研究见解表明，有潜力开发针对记者而非直接面向受众的类似工具。
英文摘要：
This article reports on a Research through Design study exploring how to design a tool for helping readers of science journalism understand the strength and uncertainty of scientific evidence in news stories about health science, using both textual and visual information. A central aim has been to teach readers about criteria for assessing scientific evidence, in particular in order to help readers differentiate between science and pseudoscience. Working in a research-in-the-wild collaboration with a website for popular science, the study presents the design and evaluation of the Scientific Evidence Indicator, which uses metadata about scientific publications to present an assessment of evidence strength to the readers. Evaluations of the design demonstrate some success in helping readers recognize whether studies have undergone scientific peer review or not, but point to challenges in facilitating a more in-depth understanding. Insights from the study point to a potential for developing similar tools aimed at journalists rather than directly at audiences.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
