论文标题
社交网络安全第13章：与19 covid-19的大流行
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
论文作者
论文摘要
该案例研究的目的是利用上一章中介绍的概念和工具，并将其应用于现实世界的社会网络安全环境。随着19日大流行作为21世纪的一个定义事件，以及虚假的动作动作的磁铁，我们选择了大流行及其相关的社交媒体对话来集中精力。因此，本章将信息操作操作，机器人检测和表征，模因检测和表征以及信息映射应用于COVID-19的相关对话的工具。本章使用这些工具分析了一条流，该流包含从2020年3月15日到2020年4月30日的2700万唯一用户，我们的结果阐明了精心设计的信息操作，这些信息操作利用了Bend动作的全部广度，并使用机器人进行了重要的塑形操作。
The purpose of this case study is to leverage the concepts and tools presented in the preceding chapters and apply them in a real world social cybersecurity context. With the COVID-19 pandemic emerging as a defining event of the 21st Century and a magnet for disinformation maneuver, we have selected the pandemic and its related social media conversation to focus our efforts on. This chapter therefore applies the tools of information operation maneuver, bot detection and characterization, meme detection and characterization, and information mapping to the COVID-19 related conversation on Twitter. This chapter uses these tools to analyze a stream containing 206 million tweets from 27 million unique users from 15 March 2020 to 30 April 2020. Our results shed light on elaborate information operations that leverage the full breadth of the BEND maneuvers and use bots for important shaping operations.
