Center of Data Science and Complexity for Society, Department of Computer Science, Sapienza Università di Roma, Roma, Italy.
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Venice, Italy.
PLoS One. 2022 May 19;17(5):e0267022. doi: 10.1371/journal.pone.0267022. eCollection 2022.
The COVID-19 pandemic has been characterized by a social media "infodemic": an overabundance of information whose authenticity may not always be guaranteed. With the potential to lead individuals to harmful decisions for the society, this infodemic represents a severe threat to information security, public health and democracy. In this paper, we assess the interplay between the infodemic and specific aspects of the pandemic, such as the number of cases, the strictness of containment measures, and the news media coverage. We perform a comparative study on three countries that employed different managements of the COVID-19 pandemic in 2020-namely Italy, the United Kingdom, and New Zealand. We first analyze the three countries from an epidemiological perspective to characterize the impact of the pandemic and the strictness of the restrictions adopted. Then, we collect a total of 6 million posts from Facebook to describe user news consumption behaviors with respect to the reliability of such posts. Finally, we quantify the relationship between the number of posts published in each of the three countries and the number of confirmed cases, the strictness of the restrictions adopted, and the online news media coverage about the pandemic. Our results show that posts referring to reliable sources are consistently predominant in the news circulation, and that users engage more with reliable posts rather than with posts referring to questionable sources. Furthermore, our modelling results suggest that factors related to the epidemiological and informational ecosystems can serve as proxies to assess the evolution of the infodemic.
新冠疫情大流行的特点是社交媒体“信息疫情”:信息过多,其真实性可能并不总是有保证。这种信息疫情有可能导致个人做出对社会有害的决策,因此对信息安全、公共卫生和民主构成了严重威胁。在本文中,我们评估了信息疫情与疫情的特定方面(如病例数量、遏制措施的严格程度和新闻媒体报道)之间的相互作用。我们对 2020 年采取了不同新冠疫情管理措施的三个国家(意大利、英国和新西兰)进行了比较研究。我们首先从流行病学的角度分析了这三个国家,以描述疫情的影响和所采取的限制措施的严格程度。然后,我们从 Facebook 上共收集了 600 万条帖子,以描述用户对新闻的消费行为及其可靠性。最后,我们量化了这三个国家发布的帖子数量与确诊病例数量、所采取的限制措施的严格程度以及有关疫情的在线新闻媒体报道之间的关系。我们的研究结果表明,提到可靠来源的帖子在新闻传播中始终占主导地位,用户更愿意参与可靠的帖子,而不是可疑来源的帖子。此外,我们的建模结果表明,与流行病学和信息生态系统相关的因素可以作为评估信息疫情演变的替代指标。