Proliferation of misinformation is a globally acknowledged problem. Cognitive Inoculation helps build resistance to different forms of persuasion, such as misinformation. We investigate Conversational Inoculation, a method to help people build resistance to misinformation through dynamic conversations with a chatbot. We built a Web-based system to implement the method, and conducted a within-subject user experiment to compare it with two traditional inoculation methods. Our results validate Conversational Inoculation as a viable novel method, and show how it was able to enhance participants' resistance to misinformation. A qualitative analysis of the conversations between participants and the chatbot reveal independence and trust as factors that boosted the efficiency of Conversational Inoculation, and friction of interaction as a factor hindering it. We discuss the opportunities and challenges of using Conversational Inoculation to combat misinformation. Our work contributes a timely investigation and a promising research direction in scalable ways to combat misinformation.

翻译：虚假信息的扩散是一个全球公认的问题。认知免疫有助于建立对不同形式说服（如虚假信息）的抵抗力。我们研究了对话式免疫，这是一种通过与聊天机器人进行动态对话来帮助人们建立对虚假信息抵抗力的方法。我们构建了一个基于Web的系统来实现该方法，并进行了被试内用户实验，将其与两种传统免疫方法进行比较。我们的结果验证了对话式免疫是一种可行的新方法，并展示了其如何能够增强参与者对虚假信息的抵抗力。对参与者与聊天机器人之间对话的定性分析揭示了独立性和信任是提升对话式免疫效率的因素，而交互摩擦则是阻碍其效率的因素。我们讨论了使用对话式免疫对抗虚假信息的机遇与挑战。我们的工作为对抗虚假信息的可扩展方法提供了及时的调查和一个有前景的研究方向。