Multimodal Propaganda Processing
This addresses the problem of analyzing biased or misleading information in propaganda for AI researchers, but it is incremental as it outlines challenges without presenting new methods or results.
The paper introduces the task of multimodal propaganda processing to automatically analyze propaganda content, aiming to advance machine understanding towards human-level comprehension.
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.