@inproceedings{rajiakodi-etal-2025-findings-shared,
title = "Findings of the Shared Task Caste and Migration Hate Speech Detection",
author = "Rajiakodi, Saranya and
Chakravarthi, Bharathi Raja and
Ponnusamy, Rahul and
Chinnan, Shunmuga Priya Muthusamy and
Kumaresan, Prasanna Kumar and
Thangasamy, Sathiyaraj and
Sivagnanam, Bhuvaneswari and
Palani, Balasubramanian and
Shanmugavadivel, Kogilavani and
Murugappan, Abirami and
Rajkumar, Charmathi",
editor = "Gkirtzou, Katerina and
{\v{Z}}itnik, Slavko and
Gracia, Jorge and
Gromann, Dagmar and
di Buono, Maria Pia and
Monti, Johanna and
Ionov, Maxim",
booktitle = "Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion",
month = sep,
year = "2025",
address = "Naples, Italy",
publisher = "Unior Press",
url = "https://aclanthology.org/2025.ltedi-1.34/",
pages = "215--221",
ISBN = "978-88-6719-334-9",
abstract = "Hate speech targeting caste and migration communities is a growing concern in online platforms, particularly in linguistically diverse regions. By focusing on Tamil language text content, this task provides a unique opportunity to tackle caste or migration related hate speech detection in a low resource language Tamil, contributing to a safer digital space. We present the results and main findings of the shared task caste and migration hate speech detection. The task is a binary classification determining whether a text is caste/migration related hate speech or not. The task attracted 17 participating teams, experimenting with a wide range of methodologies from traditional machine learning to advanced multilingual transformers. The top performing system achieved a macro F1-score of 0.88105, enhancing an ensemble of fine-tuned transformer models including XLM-R and MuRIL. Our analysis highlights the effectiveness of multilingual transformers in low resource, ensemble learning, and culturally informed socio political context based techniques."
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%0 Conference Proceedings
%T Findings of the Shared Task Caste and Migration Hate Speech Detection
%A Rajiakodi, Saranya
%A Chakravarthi, Bharathi Raja
%A Ponnusamy, Rahul
%A Chinnan, Shunmuga Priya Muthusamy
%A Kumaresan, Prasanna Kumar
%A Thangasamy, Sathiyaraj
%A Sivagnanam, Bhuvaneswari
%A Palani, Balasubramanian
%A Shanmugavadivel, Kogilavani
%A Murugappan, Abirami
%A Rajkumar, Charmathi
%Y Gkirtzou, Katerina
%Y Žitnik, Slavko
%Y Gracia, Jorge
%Y Gromann, Dagmar
%Y di Buono, Maria Pia
%Y Monti, Johanna
%Y Ionov, Maxim
%S Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion
%D 2025
%8 September
%I Unior Press
%C Naples, Italy
%@ 978-88-6719-334-9
%F rajiakodi-etal-2025-findings-shared
%X Hate speech targeting caste and migration communities is a growing concern in online platforms, particularly in linguistically diverse regions. By focusing on Tamil language text content, this task provides a unique opportunity to tackle caste or migration related hate speech detection in a low resource language Tamil, contributing to a safer digital space. We present the results and main findings of the shared task caste and migration hate speech detection. The task is a binary classification determining whether a text is caste/migration related hate speech or not. The task attracted 17 participating teams, experimenting with a wide range of methodologies from traditional machine learning to advanced multilingual transformers. The top performing system achieved a macro F1-score of 0.88105, enhancing an ensemble of fine-tuned transformer models including XLM-R and MuRIL. Our analysis highlights the effectiveness of multilingual transformers in low resource, ensemble learning, and culturally informed socio political context based techniques.
%U https://aclanthology.org/2025.ltedi-1.34/
%P 215-221
Markdown (Informal)
[Findings of the Shared Task Caste and Migration Hate Speech Detection](https://aclanthology.org/2025.ltedi-1.34/) (Rajiakodi et al., LTEDI 2025)
ACL
- Saranya Rajiakodi, Bharathi Raja Chakravarthi, Rahul Ponnusamy, Shunmuga Priya Muthusamy Chinnan, Prasanna Kumar Kumaresan, Sathiyaraj Thangasamy, Bhuvaneswari Sivagnanam, Balasubramanian Palani, Kogilavani Shanmugavadivel, Abirami Murugappan, and Charmathi Rajkumar. 2025. Findings of the Shared Task Caste and Migration Hate Speech Detection. In Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 215–221, Naples, Italy. Unior Press.