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This paper presents an overview of the ImageArg shared task, the firstmultimodal Argument Mining shared task co-located with the 10th Workshop onArgument Mining at EMNLP 2023. The shared task comprises two classificationsubtasks - (1) Subtask-A: Argument Stance Classification; (2) Subtask-B: ImagePersuasiveness Classification. The former determines the stance of a tweetcontaining an image and a piece of text toward a controversial topic (e.g., guncontrol and abortion). The latter determines whether the image makes the tweettext more persuasive. The shared task received 31 submissions for Subtask-A and21 submissions for Subtask-B from 9 different teams across 6 countries. The topsubmission in Subtask-A achieved an F1-score of 0.8647 while the bestsubmission in Subtask-B achieved an F1-score of 0.5561.

Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining