Abstract
The internet has facilitated its user-base with a platform to communicate and express their views without any censorship. On the other hand, this freedom of expression or free speech can be abused by its user or a troll to demean an individual or a group. Demeaning people based on their gender, sexual orientation, religious believes or any other characteristics –trolling– could cause great distress in the online community. Hence, the content posted by a troll needs to be identified and dealt with before causing any more damage. Amongst all the forms of troll content, memes are most prevalent due to their popularity and ability to propagate across cultures. A troll uses a meme to demean, attack or offend its targetted audience. In this shared task, we provide a resource (TamilMemes) that could be used to train a system capable of identifying a troll meme in the Tamil language. In our TamilMemes dataset, each meme has been categorized into either a “troll” or a “not_troll” class. Along with the meme images, we also provided the Latin transcripted text from memes. We received 10 system submissions from the participants which were evaluated using the weighted average F1-score. The system with the weighted average F1-score of 0.55 secured the first rank.- Anthology ID:
- 2021.dravidianlangtech-1.16
- Volume:
- Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages
- Month:
- April
- Year:
- 2021
- Address:
- Kyiv
- Editors:
- Bharathi Raja Chakravarthi, Ruba Priyadharshini, Anand Kumar M, Parameswari Krishnamurthy, Elizabeth Sherly
- Venue:
- DravidianLangTech
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 126–132
- Language:
- URL:
- https://aclanthology.org/2021.dravidianlangtech-1.16
- DOI:
- Cite (ACL):
- Shardul Suryawanshi and Bharathi Raja Chakravarthi. 2021. Findings of the Shared Task on Troll Meme Classification in Tamil. In Proceedings of the First Workshop on Speech and Language Technologies for Dravidian Languages, pages 126–132, Kyiv. Association for Computational Linguistics.
- Cite (Informal):
- Findings of the Shared Task on Troll Meme Classification in Tamil (Suryawanshi & Chakravarthi, DravidianLangTech 2021)
- PDF:
- https://preview.aclanthology.org/landing_page/2021.dravidianlangtech-1.16.pdf
- Data
- Tamil Memes