CoMuNe Lab, Fondazione Bruno Kessler, Trento, Italy.
IULM University, Milan, Italy.
Nat Hum Behav. 2020 Dec;4(12):1285-1293. doi: 10.1038/s41562-020-00994-6. Epub 2020 Oct 29.
During COVID-19, governments and the public are fighting not only a pandemic but also a co-evolving infodemic-the rapid and far-reaching spread of information of questionable quality. We analysed more than 100 million Twitter messages posted worldwide during the early stages of epidemic spread across countries (from 22 January to 10 March 2020) and classified the reliability of the news being circulated. We developed an Infodemic Risk Index to capture the magnitude of exposure to unreliable news across countries. We found that measurable waves of potentially unreliable information preceded the rise of COVID-19 infections, exposing entire countries to falsehoods that pose a serious threat to public health. As infections started to rise, reliable information quickly became more dominant, and Twitter content shifted towards more credible informational sources. Infodemic early-warning signals provide important cues for misinformation mitigation by means of adequate communication strategies.
在 COVID-19 疫情期间,政府和公众不仅要与大流行作斗争,还要与不断演变的信息疫情作斗争——迅速而广泛传播的信息质量令人怀疑。我们分析了 2020 年 1 月 22 日至 3 月 10 日期间,在疫情传播初期全世界发布的超过 1 亿条 Twitter 消息,并对传播的新闻的可靠性进行了分类。我们开发了一个信息疫情风险指数来捕捉各国接触不可靠新闻的程度。我们发现,在 COVID-19 感染上升之前,一波波可能不可靠的信息已经出现,使整个国家都暴露在对公众健康构成严重威胁的虚假信息之下。随着感染人数开始上升,可靠信息迅速占据主导地位,Twitter 内容转向更可信的信息来源。信息疫情早期预警信号为通过适当的沟通策略减轻错误信息提供了重要线索。