论文标题
在社交媒体上打击与大流行有关的错误信息
Towards Combating Pandemic-related Misinformation in Social Media
论文作者
论文摘要
大流行期间的常规预防措施包括社会距离和封锁。在社交媒体时期，此类措施带来了一系列新的挑战 - 在线错误信息的毒性影响的脆弱性很高。一个很好的例子是盛行的Covid-19；随着病毒的传播，相关的错误信息和假新闻也导致了流行病。自爆发以来，一直在研究大流行的各个方面。本章感兴趣的包括从在线社交媒体平台的数据集中进行的研究，其中大部分公共话语发生了。因此，主要目标是通过（1）贡献一组策划的相关数据集（2）建议使用数据集进行研究（3）讨论相关数据集，策略和最先进的IT工具如何在管理PANDEMATIG管理方面进行研究。
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.
