Propaganda campaigns have long been used to influence public opinion via disseminating biased and/or misleading information. Despite the increasing prevalence of propaganda content on the Internet, few attempts have been made by AI researchers to analyze such content. We introduce the task of multimodal propaganda processing, where the goal is to automatically analyze propaganda content. We believe that this task presents a long-term challenge to AI researchers and that successful processing of propaganda could bring machine understanding one important step closer to human understanding. We discuss the technical challenges associated with this task and outline the steps that need to be taken to address it.

翻译：长期以来，宣传运动一直通过传播带有偏见和/或误导性信息来影响公众舆论。尽管互联网上的宣传内容日益普遍，但人工智能研究人员对此类内容的分析尝试却少之又少。我们引入了多模态宣传处理这一任务，其目标是自动分析宣传内容。我们认为，这一任务对人工智能研究人员构成了长期挑战，而成功处理宣传内容将使机器理解向人类理解迈出重要一步。我们讨论了与该任务相关的技术挑战，并概述了解决这些挑战所需采取的步骤。