@inproceedings{chakravarthi-etal-2024-overview-shared,
title = "Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes",
author = "Chakravarthi, Bharathi Raja and
Rajiakodi, Saranya and
Ponnusamy, Rahul and
Pannerselvam, Kathiravan and
Madasamy, Anand Kumar and
Rajalakshmi, Ramachandran and
LekshmiAmmal, Hariharan and
Kizhakkeparambil, Anshid and
S Kumar, Susminu and
Sivagnanam, Bhuvaneswari and
Rajkumar, Charmathi",
editor = {Chakravarthi, Bharathi Raja and
B, Bharathi and
Buitelaar, Paul and
Durairaj, Thenmozhi and
Kov{\'a}cs, Gy{\"o}rgy and
Garc{\'\i}a Cumbreras, Miguel {\'A}ngel},
booktitle = "Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion",
month = mar,
year = "2024",
address = "St. Julian's, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.ltedi-1.13",
pages = "139--144",
abstract = "This paper offers a detailed overview of the first shared task on {``}Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes,{''} organized as part of the LT-EDI@EACL 2024 conference. The task was set to classify misogynistic content and troll memes within online platforms, focusing specifically on memes in Tamil and Malayalam languages. A total of 52 teams registered for the competition, with four submitting systems for the Tamil meme classification task and three for the Malayalam task. The outcomes of this shared task are significant, providing insights into the current state of misogynistic content in digital memes and highlighting the effectiveness of various computational approaches in identifying such detrimental content. The top-performing model got a macro F1 score of 0.73 in Tamil and 0.87 in Malayalam.",
}
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%0 Conference Proceedings
%T Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes
%A Chakravarthi, Bharathi Raja
%A Rajiakodi, Saranya
%A Ponnusamy, Rahul
%A Pannerselvam, Kathiravan
%A Madasamy, Anand Kumar
%A Rajalakshmi, Ramachandran
%A LekshmiAmmal, Hariharan
%A Kizhakkeparambil, Anshid
%A S Kumar, Susminu
%A Sivagnanam, Bhuvaneswari
%A Rajkumar, Charmathi
%Y Chakravarthi, Bharathi Raja
%Y B, Bharathi
%Y Buitelaar, Paul
%Y Durairaj, Thenmozhi
%Y Kovács, György
%Y García Cumbreras, Miguel Ángel
%S Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julian’s, Malta
%F chakravarthi-etal-2024-overview-shared
%X This paper offers a detailed overview of the first shared task on “Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes,” organized as part of the LT-EDI@EACL 2024 conference. The task was set to classify misogynistic content and troll memes within online platforms, focusing specifically on memes in Tamil and Malayalam languages. A total of 52 teams registered for the competition, with four submitting systems for the Tamil meme classification task and three for the Malayalam task. The outcomes of this shared task are significant, providing insights into the current state of misogynistic content in digital memes and highlighting the effectiveness of various computational approaches in identifying such detrimental content. The top-performing model got a macro F1 score of 0.73 in Tamil and 0.87 in Malayalam.
%U https://aclanthology.org/2024.ltedi-1.13
%P 139-144
Markdown (Informal)
[Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes](https://aclanthology.org/2024.ltedi-1.13) (Chakravarthi et al., LTEDI-WS 2024)
ACL
- Bharathi Raja Chakravarthi, Saranya Rajiakodi, Rahul Ponnusamy, Kathiravan Pannerselvam, Anand Kumar Madasamy, Ramachandran Rajalakshmi, Hariharan LekshmiAmmal, Anshid Kizhakkeparambil, Susminu S Kumar, Bhuvaneswari Sivagnanam, and Charmathi Rajkumar. 2024. Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes. In Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 139–144, St. Julian's, Malta. Association for Computational Linguistics.