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  Given only the “textual content” of a meme, the goal is to identify which of the 20 persuasion techniques, organized in a hierarchy, it uses. Selecting only the ancestor node of a technique gives only a partial reward. This is a hierarchical multi-label classification problem based on the [SemEval 2024 Task 4 Subtask 1 of "Multilingual Detection of Persuasion Techniques in Memes"](https://propaganda.math.unipd.it/semeval2024task4/index.html).
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  ### Hierarchy
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  <img src="images/persuasion_techniques_hierarchy_graph.png" width="622" height="350">
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  Given only the “textual content” of a meme, the goal is to identify which of the 20 persuasion techniques, organized in a hierarchy, it uses. Selecting only the ancestor node of a technique gives only a partial reward. This is a hierarchical multi-label classification problem based on the [SemEval 2024 Task 4 Subtask 1 of "Multilingual Detection of Persuasion Techniques in Memes"](https://propaganda.math.unipd.it/semeval2024task4/index.html).
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+ The source code to train the model along with additional implementations can be found [here](https://github.com/nishan-chatterjee/what-do-you-meme). The paper describing our method was accepted at SemEval 2024. Link to paper coming soon!!
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  ### Hierarchy
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  <img src="images/persuasion_techniques_hierarchy_graph.png" width="622" height="350">
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