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Detecting Propaganda Techniques in Memes

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arxiv 2109.08013 v1 pith:TIMU6AIU submitted 2021-08-07 cs.CV cs.CLcs.LGcs.MM

Detecting Propaganda Techniques in Memes

classification cs.CV cs.CLcs.LGcs.MM
keywords propagandatechniquesdetectingmemesmultimodalcorpusformfurther
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Propaganda can be defined as a form of communication that aims to influence the opinions or the actions of people towards a specific goal; this is achieved by means of well-defined rhetorical and psychological devices. Propaganda, in the form we know it today, can be dated back to the beginning of the 17th century. However, it is with the advent of the Internet and the social media that it has started to spread on a much larger scale than before, thus becoming major societal and political issue. Nowadays, a large fraction of propaganda in social media is multimodal, mixing textual with visual content. With this in mind, here we propose a new multi-label multimodal task: detecting the type of propaganda techniques used in memes. We further create and release a new corpus of 950 memes, carefully annotated with 22 propaganda techniques, which can appear in the text, in the image, or in both. Our analysis of the corpus shows that understanding both modalities together is essential for detecting these techniques. This is further confirmed in our experiments with several state-of-the-art multimodal models.

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Cited by 1 Pith paper

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  1. Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities

    cs.CL 2024-06 accept novelty 6.0

    A PRISMA-based survey of 158 computational works on toxic meme detection introduces a new toxicity taxonomy and a framework linking target, intent, and conveyance tactics while noting trends in LLMs and cross-modal methods.