SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection

Maria Nancy C; Radha N; Swathika R

SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection

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Abstract

This paper proposes a transformer-based methodology for detecting hate speech in Tamil, developed as part of the shared task on Caste and Migration Hate Speech Detection. Leveraging the multilingual BERT (mBERT) model, we fine-tune it to classify Tamil social media content into caste/migration-related hate speech and non hate speech categories. Our approach achieves a macro F1-score of 0.72462 in the development dataset, demonstrating the effectiveness of multilingual pretrained models in low-resource language settings. The code for this work is available on github Hate-Speech Deduction.

Anthology ID:: 2025.ltedi-1.14
Volume:: Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion
Month:: September
Year:: 2025
Address:: Naples, Italy
Editors:: Katerina Gkirtzou, Slavko Žitnik, Jorge Gracia, Dagmar Gromann, Maria Pia di Buono, Johanna Monti, Maxim Ionov
Venues:: LTEDI | WS
SIG:
Publisher:: Unior Press
Note:
Pages:: 84–89
Language:
URL:: https://aclanthology.org/2025.ltedi-1.14/
DOI:
Bibkey:
Cite (ACL):: Maria Nancy C, Radha N, and Swathika R. 2025. SSN_IT_HATE@LT-EDI-2025: 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 84–89, Naples, Italy. Unior Press.
Cite (Informal):: SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection (C et al., LTEDI 2025)
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PDF:: https://aclanthology.org/2025.ltedi-1.14.pdf

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@inproceedings{c-etal-2025-ssn-hate,
    title = "{SSN}{\_}{IT}{\_}{HATE}@{LT}-{EDI}-2025: Caste and Migration Hate Speech Detection",
    author = "C, Maria Nancy  and
      N, Radha  and
      R, Swathika",
    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-1.14/",
    pages = "84--89",
    ISBN = "978-88-6719-334-9",
    abstract = "This paper proposes a transformer-based methodology for detecting hate speech in Tamil, developed as part of the shared task on Caste and Migration Hate Speech Detection. Leveraging the multilingual BERT (mBERT) model, we fine-tune it to classify Tamil social media content into caste/migration-related hate speech and non hate speech categories. Our approach achieves a macro F1-score of 0.72462 in the development dataset, demonstrating the effectiveness of multilingual pretrained models in low-resource language settings. The code for this work is available on github Hate-Speech Deduction."
}

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%0 Conference Proceedings
%T SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection
%A C, Maria Nancy
%A N, Radha
%A R, Swathika
%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 c-etal-2025-ssn-hate
%X This paper proposes a transformer-based methodology for detecting hate speech in Tamil, developed as part of the shared task on Caste and Migration Hate Speech Detection. Leveraging the multilingual BERT (mBERT) model, we fine-tune it to classify Tamil social media content into caste/migration-related hate speech and non hate speech categories. Our approach achieves a macro F1-score of 0.72462 in the development dataset, demonstrating the effectiveness of multilingual pretrained models in low-resource language settings. The code for this work is available on github Hate-Speech Deduction.
%U https://aclanthology.org/2025.ltedi-1.14/
%P 84-89

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Markdown (Informal)

[SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection](https://aclanthology.org/2025.ltedi-1.14/) (C et al., LTEDI 2025)

SSN_IT_HATE@LT-EDI-2025: Caste and Migration Hate Speech Detection (C et al., LTEDI 2025)

ACL

Maria Nancy C, Radha N, and Swathika R. 2025. SSN_IT_HATE@LT-EDI-2025: 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 84–89, Naples, Italy. Unior Press.