论文标题
Twitter垃圾邮件和虚假帐户流行，检测和表征：调查
Twitter Spam and False Accounts Prevalence, Detection and Characterization: A Survey
论文作者
论文摘要
十多年来，量化和表征各种形式的社交媒体操纵和虐待的问题一直处于计算社会科学研究界的最前沿。在本文中，我对研究工作进行了一项（非整合）调查，旨在估算Twitter上垃圾邮件和虚假帐户的流行，并表征其使用，活动和行为。我提出了垃圾邮件和虚假帐户的分类法，列举了用于创建和检测它们的已知技术。然后，我总结了估计Twitter上垃圾邮件和虚假帐户流行的研究。最后，我报告的研究说明了如何将垃圾邮件和虚假账户用于骗局和欺诈，股市操纵，政治虚假信息和欺骗，阴谋放大，协调的影响力，公共卫生错误信息宣传运动，激进的宣传和招聘等等。我将以一组旨在绘制前进道路来解决这些问题的建议结束。
The issue of quantifying and characterizing various forms of social media manipulation and abuse has been at the forefront of the computational social science research community for over a decade. In this paper, I provide a (non-comprehensive) survey of research efforts aimed at estimating the prevalence of spam and false accounts on Twitter, as well as characterizing their use, activity, and behavior. I propose a taxonomy of spam and false accounts, enumerating known techniques used to create and detect them. Then, I summarize studies estimating the prevalence of spam and false accounts on Twitter. Finally, I report on research that illustrates how spam and false accounts are used for scams and frauds, stock market manipulation, political disinformation and deception, conspiracy amplification, coordinated influence, public health misinformation campaigns, radical propaganda and recruitment, and more. I will conclude with a set of recommendations aimed at charting the path forward to combat these problems.
