论文标题
评估对COVID-19流行病的响应“非偶像学”的风险
Assessing the risks of "infodemics" in response to COVID-19 epidemics
论文作者
论文摘要
我们的社会建立在一个复杂的相互依赖性网络上，其在诸如COVID-19大流行等非凡事件中变得明显的效果显现出来，一个系统中的震惊在一个系统中在某种程度上传播到了一定程度上。我们分析了由于SARS-COV-2的流行紧急情况，我们分析了全球范围内以64种语言发布的超过100万个Twitter消息，并将新闻的可靠性分散了。我们发现，不可靠和低质量的信息的浪潮预测了流行病，使整个国家面临非理性的社会行为以及对公共卫生的严重威胁。当流行病碰到同一区域时，可靠的信息会很快接种，例如抗体，系统将重点转移到认证的信息来源上。与主流信念相反，我们表明人类对虚假的反应表现出可能通过适当的沟通策略来缓解的早期训练信号。
Our society is built on a complex web of interdependencies whose effects become manifest during extraordinary events such as the COVID-19 pandemic, with shocks in one system propagating to the others to an exceptional extent. We analyzed more than 100 millions Twitter messages posted worldwide in 64 languages during the epidemic emergency due to SARS-CoV-2 and classified the reliability of news diffused. We found that waves of unreliable and low-quality information anticipate the epidemic ones, exposing entire countries to irrational social behavior and serious threats for public health. When the epidemics hit the same area, reliable information is quickly inoculated, like antibodies, and the system shifts focus towards certified informational sources. Contrary to mainstream beliefs, we show that human response to falsehood exhibits early-warning signals that might be mitigated with adequate communication strategies.
