MMCLLGApr 25, 2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

arXiv:2105.09284v1733 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of identifying manipulation in online content for researchers and practitioners, but it is incremental as it builds on existing multimodal detection tasks.

The paper tackled the problem of detecting persuasion techniques in memes by introducing a SemEval task with three subtasks focusing on text, text spans, and multimodal analysis, resulting in 71 registrations and 22 official submissions, with evaluation confirming the importance of both text and image modalities.

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participating systems. The task focused on memes and had three subtasks: (i) detecting the techniques in the text, (ii) detecting the text spans where the techniques are used, and (iii) detecting techniques in the entire meme, i.e., both in the text and in the image. It was a popular task, attracting 71 registrations, and 22 teams that eventually made an official submission on the test set. The evaluation results for the third subtask confirmed the importance of both modalities, the text and the image. Moreover, some teams reported benefits when not just combining the two modalities, e.g., by using early or late fusion, but rather modeling the interaction between them in a joint model.

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Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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