在线科学传播中的不确定性表达阻碍了信息传播。

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES
PNAS nexus Pub Date : 2024-10-04 eCollection Date: 2024-10-01 DOI:10.1093/pnasnexus/pgae439
Olga Stavrova, Bennett Kleinberg, Anthony M Evans, Milena Ivanović
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引用次数: 0

摘要

尽管围绕科学发现的不确定性进行透明交流非常重要,但也有人担心,交流不确定性可能会损害公众对科学的认知和传播。然而,由于缺乏有关不确定性交流对科学发现传播的潜在影响的实证研究,因此在评估这种说法时面临挑战。我们通过实地研究和对照实验研究了不确定性的影响。在研究 1 中,我们对 200 多万条有关科学发现的社交媒体(Twitter/X)信息进行了自然语言处理分析,结果显示,不确定性较高的信息被分享的频率较低。研究 2 采用实验设计复制了这一模式,即向参与者展示大语言模型(LLM)生成的高不确定性和低不确定性信息。这些结果强调了不确定性在科学发现传播中的作用,并为当前关于科学传播中不确定性的益处和风险的辩论提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expressions of uncertainty in online science communication hinder information diffusion.

Despite the importance of transparent communication of uncertainty surrounding scientific findings, there are concerns that communicating uncertainty might damage the public perception and dissemination of science. Yet, a lack of empirical research on the potential impact of uncertainty communication on the diffusion of scientific findings poses challenges in assessing such claims. We studied the effect of uncertainty in a field study and a controlled experiment. In Study 1, a natural language processing analysis of over 2 million social media (Twitter/X) messages about scientific findings revealed that more uncertain messages were shared less often. Study 2 replicated this pattern using an experimental design where participants were presented with large-language-model (LLM)-generated high- and low-uncertainty messages. These results underscore the role of uncertainty in the dissemination of scientific findings and inform the ongoing debates regarding the benefits and the risks of uncertainty in science communication.

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