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Multimodal Propaganda Processing

arXiv 2302.08709 ↗First posted 17 Feb 2023cs.CL cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 37 references that are in the map. First posted on arXiv 17 Feb 2023.

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15 of 37 references.

References · 15

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  10. 2020X-Linear Attention Networks for Image Captioningcited by 198
  11. 2019Fine-Grained Analysis of Propaganda in News Articlescited by 130
  12. 2016Parsing Argumentation Structures in Persuasive Essayscited by 99
3 more
  1. 2021Detecting Propaganda Techniques in Memescited by 43
  2. 2020Out of the Echo Chamber: Detecting Countering Debate Speechescited by 15
  3. 2015Political Bots and the Manipulation of Public Opinion in Venezuelacited by 5

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