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Dettaglio pubblicazione

2021, Proceedings of the 59th Annual Meeting of the Association for ComputationalLinguistics and the 11th International Joint Conference on NaturalLanguage Processing, {ACL/IJCNLP} 2021, (Volume 1: Long Papers), VirtualEvent, August 1-6, 2021, Pages 6603-6617

Detecting Propaganda Techniques in Memes (04b Atto di convegno in volume)

Dimitrov Dimitar, Bin Ali Bishr, Shaar Shaden, Alam Firoj, Silvestri Fabrizio, Firooz Hamed, Nakov Preslav, Da San Martino Giovanni

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.
Gruppo di ricerca: Algorithms and Data Science, Gruppo di ricerca: Theory of Deep Learning
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