DHB - Dynamics of Deception in Computer-Mediated Environments

欺骗是一种重要而普遍的社会现象，涉及人类生活的许多方面。 平均而言，人们每天说一到两个谎言，这些谎言从微不足道到非常严重，包括朋友和家人之间的欺骗，在工作场所，以及在安全和情报环境中。与此同时，信息和通信技术已经渗透到人类通信的几乎所有方面，从支持人际互动的日常技术，如电子邮件和即时消息，到支持组织级互动的更复杂的系统。有了这个NSF奖项，研究团队将利用通信，心理学，自然语言处理和计算语言学来研究人类如何适应新的通信和信息环境的欺骗行为。主要的研究问题是：1）计算机媒介环境如何影响欺骗的产生和实践？2)我们发现欺骗的能力是如何受到以计算机为媒介的环境的影响的？以及3）先进的计算和自然语言处理技术是否可以用于分析和识别欺骗性和真实性消息？除了对欺骗产生和检测的行为研究外，该项目还将开发欺骗信息语料库，这是一个大规模的共享数据库，包含数十万条为欺骗性编码的信息，将提供给研究界，以促进对数字欺骗的研究。通过研究中介环境中的欺骗行为，并建立基于计算机的工具来检测欺骗性信息，拟议的研究将导致新的方法，提高我们检测数字形式欺骗的能力。

Deception is a significant and pervasive social phenomenon that touches on many aspects of human life. On average, people tell one to two lies a day, and these lies range from the trivial to the very serious, including deception between friends and family, in the workplace, and in security and intelligence contexts. At the same time, information and communication technologies have pervaded almost all aspects of human communication, from everyday technologies that support interpersonal interactions, such as email and instant messaging, to more sophisticated systems that support organization-level interactions. With this NSF award the research team will draw on communication, psychology, natural language processing and computational linguistics to examine how humans adapt their deceptive practices to new communication and information environments. The primary research questions are: 1) how do computer-mediated environments affect the production and practices of deception? 2) how is our ability to detect deception affected by computer-mediated environments? and 3) can advanced computational and natural language processing techniques be used to analyze and identify deceptive and truthful messages? In addition to behavioral studies of deception production and detection, the project will develop the Deceptive Message Corpus, a large-scale, shared database of several hundred thousand messages coded for deceptiveness that will be made available to the research community to facilitate research on digital deception. By examining deception in mediated environments and building computer-based tools for the detection of deceptive messages, the proposed research will lead to new approaches that will improve our ability to detect digital forms of deception.