生物变化、政治意识形态和科学传播塑造了人类对花粉季节的看法

Yiluan Song, Adam Millard-Ball, Nathan Fox, Derek Van Berkel, Arun Agrawal, Kai Zhu
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摘要

气候变化正在改变花粉季节的时间和强度,从而增加了人类接触过敏原花粉的机会。由气候引起的花粉季节变化为我们提供了一个独特的机会,可借以通过生物系统的变化来传播气候变化对公众健康的影响。然而,目前还不清楚公众是如何体验和理解花粉季节的,包括我们对花粉季节的检测程度,或我们认为哪些因素导致了花粉季节的变化。在此,我们利用美国 2012 年至 2022 年的社交媒体数据,在大时空尺度上评估了公众对花粉季节的看法。我们发现,社交媒体(Twitter)用户检测到的花粉季节与自然花粉季节非常吻合。然而,花粉季节变化的归因因政治意识形态而异:与保守派用户相比,自由派用户更倾向于将花粉季节变化归因于气候变化。大众传媒和科学专家在宣传气候变化如何推动花粉季节变化方面发挥着关键作用。我们的研究结果揭示了生物系统、政治意识形态和科学传播的变化如何共同塑造了公众对气候变化下花粉季节的看法。我们的发现为更有效地进行气候变化影响传播和公共卫生干预设计迈出了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biological changes, political ideology, and scientific communication shape human perceptions of pollen seasons
Climate change is changing the timing and intensity of pollen seasons, thereby increasing human exposure to allergenic pollen. Climate-driven changes in pollen seasons present a unique opportunity to craft messaging aimed at communicating climate change impacts on public health through changes in the biological systems. However, it is unclear how pollen seasons are experienced and understood by the public, including how well we detect pollen seasons or what factors we view as responsible for changes in pollen seasons. Here, we use social media data in the United States from 2012 to 2022 to assess public perceptions of pollen seasons at large spatiotemporal scales. We show that pollen seasons detected by social media (Twitter) users align well with natural pollen seasons. Attribution of changing pollen seasons, however, varies based on political ideology: liberal users, compared to conservative users, are more likely to attribute changing pollen seasons to climate change. Mass media and scientific experts play a key role in communicating how climate change drives changing pollen seasons. Our findings reveal how changes in biological systems, political ideology, and scientific communications collectively shape public perceptions of pollen seasons under climate change. Our findings constitute a step towards more effective climate change impact communication and public health intervention design.
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