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 COVID-19. As the virus propagate, 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. The main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets (2) offering relevant areas to study using the datasets (3) demonstrating 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 -- -- 很容易受到网上错误信息的有毒影响。一个典型的例子就是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。本章的兴趣包括集中研究来自网上社交媒体平台的数据集,因为大部分公共言论都发生在网上社交媒体平台上。主要目标是支持打击负面的恋童癖,其途径是:(1) 提供一套多样的整理相关数据集;(2) 提供相关领域,利用数据集进行研究(3) 展示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。