社会网络安全第13章：COVID-19流行病案例研究
Social Cybersecurity Chapter 13: Casestudy with COVID-19 Pandemic
摘要：
本案例研究的目的是利用前面章节中提出的概念和工具，并将其应用于现实世界的社会网络安全环境。鉴于COVID-19大流行已成为21世纪的标志性事件和虚假信息操纵的磁石，我们选择了这场大流行及其相关的社交媒体对话作为研究重点。因此，本章将信息操作操纵、机器人检测和表征、模因检测和表征以及信息映射等工具应用于Twitter上的COVID-19相关对话。本章使用这些工具分析包含2020年3月15日至2020年4月30日期间来自2700万独立用户的2.06亿条推文的流。我们的研究结果揭示了复杂的信息操作，这些操作充分利用了弯曲操作的全部广度，并使用机器人进行重要的塑造操作。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
