Conventional preventive measures during pandemic include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges - vulnerability to the toxic impact of online misinformation is high. A case in point is the prevailing COVID-19; as the virus propagates, so does the associated misinformation and fake news about it leading to infodemic. Since the outbreak, there has been a surge of studies investigating various aspects of the pandemic. Of interest to this chapter include studies centring on datasets from online social media platforms where the bulk of the public discourse happen. Consequently, the main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets (2) recommending relevant areas to study using the datasets (3) discussion on how relevant datasets, strategies and state-of-the-art IT tools can be leveraged in managing the pandemic.
翻译:在大流行病期间,常规预防措施包括社会疏远和封闭,在社交媒体带来新的挑战时,这类措施带来了一系列挑战 -- -- 易受网上错误信息有毒影响的脆弱性很高。一个典型的例子就是流行的COVID-19;随着病毒的传播,相关的错误信息及其假消息也会导致非传染病。自疫情爆发以来,调查该大流行病各个方面的研究激增。对本章的兴趣包括集中研究来自在线社交媒体平台的数据集,因为大部分公共讨论都发生在网上社交媒体平台上。因此,主要目标是支持打击负面不规则现象的斗争,其方法是(1) 提供一套多样的、经过整理的相关数据集(2) 建议使用数据集研究相关领域(3) 讨论如何利用相关数据集、战略和最新信息技术工具管理该大流行病。