TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification

Rabindra Nath Nandi, Firoj Alam, Preslav Nakov


Abstract
The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social mediaplatforms, government agencies, policymakers, and society as a whole. This is because such harmful or abusive content leads to several consequences to people such as physical, emotional, relational, and financial. Among different harmful content trolling-based online content is one of them, where the idea is to post a message that is provocative, offensive, or menacing with an intent to mislead the audience. The content can be textual, visual, a combination of both, or a meme. In this study, we provide a comparative analysis of troll-based memes classification using the textual, visual, and multimodal content. We report several interesting findings in terms of code-mixed text, multimodal setting, and combining an additional dataset, which shows improvements over the majority baseline.
Anthology ID:
2022.dravidianlangtech-1.13
Volume:
Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venue:
DravidianLangTech
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
79–85
Language:
URL:
https://aclanthology.org/2022.dravidianlangtech-1.13
DOI:
10.18653/v1/2022.dravidianlangtech-1.13
Bibkey:
Cite (ACL):
Rabindra Nath Nandi, Firoj Alam, and Preslav Nakov. 2022. TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pages 79–85, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification (Nandi et al., DravidianLangTech 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.dravidianlangtech-1.13.pdf
Video:
 https://preview.aclanthology.org/ingestion-script-update/2022.dravidianlangtech-1.13.mp4
Data
Hateful MemesHateful Memes Challenge