Overview of Shared Task on Caste and Migration Hate Speech Detection

Saranya Rajiakodi, Bharathi Raja Chakravarthi, Rahul Ponnusamy, Prasanna Kumaresan, Sathiyaraj Thangasamy, Bhuvaneswari Sivagnanam, Charmathi Rajkumar


Abstract
We present an overview of the first shared task on “Caste and Migration Hate Speech Detection.” The shared task is organized as part of LTEDI@EACL 2024. The system must delineate between binary outcomes, ascertaining whether the text is categorized as a caste/migration hate speech or not. The dataset presented in this shared task is in Tamil, which is one of the under-resource languages. There are a total of 51 teams participated in this task. Among them, 15 teams submitted their research results for the task. To the best of our knowledge, this is the first time the shared task has been conducted on textual hate speech detection concerning caste and migration. In this study, we have conducted a systematic analysis and detailed presentation of all the contributions of the participants as well as the statistics of the dataset, which is the social media comments in Tamil language to detect hate speech. It also further goes into the details of a comprehensive analysis of the participants’ methodology and their findings.
Anthology ID:
2024.ltedi-1.14
Volume:
Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion
Month:
March
Year:
2024
Address:
St. Julian's, Malta
Editors:
Bharathi Raja Chakravarthi, Bharathi B, Paul Buitelaar, Thenmozhi Durairaj, György Kovács, Miguel Ángel García Cumbreras
Venues:
LTEDI | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
145–151
Language:
URL:
https://aclanthology.org/2024.ltedi-1.14
DOI:
Bibkey:
Cite (ACL):
Saranya Rajiakodi, Bharathi Raja Chakravarthi, Rahul Ponnusamy, Prasanna Kumaresan, Sathiyaraj Thangasamy, Bhuvaneswari Sivagnanam, and Charmathi Rajkumar. 2024. Overview of Shared Task on Caste and Migration Hate Speech Detection. In Proceedings of the Fourth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 145–151, St. Julian's, Malta. Association for Computational Linguistics.
Cite (Informal):
Overview of Shared Task on Caste and Migration Hate Speech Detection (Rajiakodi et al., LTEDI-WS 2024)
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