Public risk perception and emotion on Twitter during the Covid-19 pandemic.
Public risk perception and emotion on Twitter during the Covid-19 pandemic.
复制标题
在Covid-19-19大流行期间，Twitter上的公共风险感知和情感。
DOI：
10.1007/s41109-020-00334-7
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发表时间：
2020
影响因子：
2.2
通讯作者：
Kolic B
中科院分区：
文献类型：
--
作者：
Dyer J;Kolic B
成功应对2019冠状病毒病大流行的前提是公众配合采取安全措施和适当的风险认知，其中情感和注意力发挥着重要作用。公众情绪和关注的特征存在于社交媒体数据中，因此对该文本进行自然语言分析可以近乎实时地监测公众风险感知指标。我们将大流行进展的关键流行病学指标与公众对大流行的看法指标进行了比较，这些指标是根据2020年3月10日至6月14日期间12个国家发布的数百万条与covid -19相关的独特推文构建的。我们发现了心理物理麻木的证据：Twitter用户越来越关注死亡，但他们的语气越来越情绪化，分析性越来越强。基于词共现的语义网络分析揭示了Covid-19伤员情绪框架的变化，这与这一假设是一致的。我们还发现，对全国Covid-19死亡率的平均关注度可以用感官知觉的Weber-Fechner函数和幂律函数准确地建模。我们对这些模型的参数估计与心理学实验的估计一致，并表明该数据集中的用户对国家Covid-19死亡率的敏感度不同。我们的工作说明了在危机情景中，社交媒体在监测公众风险认知和指导公众沟通方面的潜在效用。
Successful navigation of the Covid-19 pandemic is predicated on public cooperation with safety measures and appropriate perception of risk, in which emotion and attention play important roles. Signatures of public emotion and attention are present in social media data, thus natural language analysis of this text enables near-to-real-time monitoring of indicators of public risk perception. We compare key epidemiological indicators of the progression of the pandemic with indicators of the public perception of the pandemic constructed from million unique Covid-19-related tweets from 12 countries posted between 10th March and 14th June 2020. We find evidence of psychophysical numbing: Twitter users increasingly fixate on mortality, but in a decreasingly emotional and increasingly analytic tone. Semantic network analysis based on word co-occurrences reveals changes in the emotional framing of Covid-19 casualties that are consistent with this hypothesis. We also find that the average attention afforded to national Covid-19 mortality rates is modelled accurately with the Weber–Fechner and power law functions of sensory perception. Our parameter estimates for these models are consistent with estimates from psychological experiments, and indicate that users in this dataset exhibit differential sensitivity by country to the national Covid-19 death rates. Our work illustrates the potential utility of social media for monitoring public risk perception and guiding public communication during crisis scenarios.
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DOI：
10.1088/1742-5468/2008/10/p10008
发表时间：
2008-10-01
影响因子：
2.4
作者：
Blondel, Vincent D.;Guillaume, Jean-Loup;Lefebvre, Etienne
通讯作者：
Lefebvre, Etienne
影响因子：
3.8
作者：
Burns, William J.;Slovic, Paul
通讯作者：
Slovic, Paul
影响因子：
3.7
作者：
Bhatia, Sudeep;Mellers, Barbara;Walasek, Lukasz
通讯作者：
Walasek, Lukasz
影响因子：
5
作者：
FEATHER, NT
通讯作者：
FEATHER, NT
影响因子：
4.7
作者：
Fetherstonhaugh, D;Slovic, P;Friedrich, J
通讯作者：
Friedrich, J