Impact of COVID-19 forecast visualizations on pandemic risk perceptions.

Impact of COVID-19 forecast visualizations on pandemic risk perceptions.
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DOI:
10.1038/s41598-022-05353-1
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发表时间:
2022-02-07
期刊:
影响因子:
4.6
通讯作者:
Bertini E
Bertini E
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Padilla L;Hosseinpour H;Fygenson R;Howell J;Chunara R;Bertini E

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世界各地的人们使用 SARS-CoV-2 (COVID-19) 可视化来做出有关流行病风险的生死决定。了解这些可视化如何影响风险认知以改善流行病沟通至关重要。为了研究 COVID-19 可视化如何影响风险认知,我们于 2020 年 10 月和 12 月进行了两项在线实验 (N = 2549),向参与者展示了相同 COVID-19 死亡率数据的 34 种可视化技术(在 CDC 网站发布时可用)。我们发现,使用累积量表可视化数据始终会让参与者相信他们和其他人比查看可视化之前面临更大的风险。相比之下,通过每周事件规模可视化相同的数据会导致风险认知发生不同的变化。此外,不确定性预测可视化也影响了风险认知,可视化显示六个或更多模型比其他测试的模型更能提高风险估计。相同数据的 COVID-19 可视化之间的差异会产生不同的风险认知,从根本上改变观众对信息的解释。
People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December of 2020 (N = 2549) where we presented participants with 34 visualization techniques (available at the time of publication on the CDC’s website) of the same COVID-19 mortality data. We found that visualizing data using a cumulative scale consistently led to participants believing that they and others were at more risk than before viewing the visualizations. In contrast, visualizing the same data with a weekly incident scale led to variable changes in risk perceptions. Further, uncertainty forecast visualizations also affected risk perceptions, with visualizations showing six or more models increasing risk estimates more than the others tested. Differences between COVID-19 visualizations of the same data produce different risk perceptions, fundamentally changing viewers’ interpretation of information.
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