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

Autor:	Dimitrov, Dimitar, Ali, Bishr Bin, Shaar, Shaden, Alam, Firoj, Silvestri, Fabrizio, Firooz, Hamed, Nakov, Preslav, Martino, Giovanni Da San
Rok vydání:	2021
Předmět:	Computer Science - Multimedia Computer Science - Computation and Language Computer Science - Machine Learning 68T50 F.2.2 I.2.7
Zdroj:	SemEval-2021
Druh dokumentu:	Working Paper
Popis:	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. Comment: propaganda, disinformation, misinformation, fake news, memes, multimodality
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2105.09284 Zobrazit plný text záznamu View this record from Arxiv