@inproceedings{kumaresan-etal-2025-overview,
title = "Overview of Homophobia and Transphobia Span Detection in Social Media Comments",
author = "Kumaresan, Prasanna Kumar and
Chakravarthi, Bharathi Raja and
Priyadharshini, Ruba and
Buitelaar, Paul and
Subramanian, Malliga and
Ponnusamy, Kishore Kumar",
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-1.36/",
pages = "229--234",
ISBN = "978-88-6719-334-9",
abstract = "The rise and the intensity of harassment and hate speech in social media platforms against LGBTQ+ communities is a growing concern. This work is an initiative to address this problem by conducting a shared task focused on the detection of homophobic and transphobic content in multilingual settings. The task comprises two subtasks: (1) multi-class classification of content into Homophobia, Transphobia, or Non-anti-LGBT+ categories across eight languages and (2) span-level detection to identify specific toxic segments within comments in English, Tamil, and Marathi. This initiative helps the development of explainable and socially re- sponsible AI tools for combating identity-based harm in digital spaces. Multiple teams registered for the task, however only two teams submitted their results, and the results were evaluated using the macro F1 score."
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%0 Conference Proceedings
%T Overview of Homophobia and Transphobia Span Detection in Social Media Comments
%A Kumaresan, Prasanna Kumar
%A Chakravarthi, Bharathi Raja
%A Priyadharshini, Ruba
%A Buitelaar, Paul
%A Subramanian, Malliga
%A Ponnusamy, Kishore Kumar
%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 kumaresan-etal-2025-overview
%X The rise and the intensity of harassment and hate speech in social media platforms against LGBTQ+ communities is a growing concern. This work is an initiative to address this problem by conducting a shared task focused on the detection of homophobic and transphobic content in multilingual settings. The task comprises two subtasks: (1) multi-class classification of content into Homophobia, Transphobia, or Non-anti-LGBT+ categories across eight languages and (2) span-level detection to identify specific toxic segments within comments in English, Tamil, and Marathi. This initiative helps the development of explainable and socially re- sponsible AI tools for combating identity-based harm in digital spaces. Multiple teams registered for the task, however only two teams submitted their results, and the results were evaluated using the macro F1 score.
%U https://aclanthology.org/2025.ltedi-1.36/
%P 229-234
Markdown (Informal)
[Overview of Homophobia and Transphobia Span Detection in Social Media Comments](https://aclanthology.org/2025.ltedi-1.36/) (Kumaresan et al., LTEDI 2025)
ACL
- Prasanna Kumar Kumaresan, Bharathi Raja Chakravarthi, Ruba Priyadharshini, Paul Buitelaar, Malliga Subramanian, and Kishore Kumar Ponnusamy. 2025. Overview of Homophobia and Transphobia Span Detection in Social Media Comments. In Proceedings of the 5th Conference on Language, Data and Knowledge: Fifth Workshop on Language Technology for Equality, Diversity, Inclusion, pages 229–234, Naples, Italy. Unior Press.