Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments

Bharathi Raja Chakravarthi; Ruba Priyadharshini; Durairaj Thenmozhi; John Phillip McCrae; Paul Buitelaar; Rahul Ponnusamy; Prasanna Kumar Kumaresan

Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments

Bharathi Raja Chakravarthi
, Ruba Priyadharshini
, Durairaj Thenmozhi
, John Phillip McCrae
, Paul Buitelaar
, Rahul Ponnusamy
, Prasanna Kumar Kumaresan

Data Science Institute

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

110 Citations (Scopus)

Abstract

Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the "Homophobia and Transphobia Detection in social media comments" shared task held at LTEDI 2022 - ACL 2022. This shared task focused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.

Original language	English
Title of host publication	LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop
Editors	Bharathi Raja Chakravarthi, B Bharathi, John P McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
Publisher	Association for Computational Linguistics (ACL)
Pages	369-377
Number of pages	9
ISBN (Electronic)	9781955917438
Publication status	Published - 2022
Event	2nd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2022 - Dublin, Ireland Duration: 27 May 2022 → …

Publication series

Name	LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop

Conference

Conference	2nd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2022
Country/Territory	Ireland
City	Dublin
Period	27/05/22 → …

Cite this

Chakravarthi, B. R., Priyadharshini, R., Thenmozhi, D., McCrae, J. P., Buitelaar, P., Ponnusamy, R., & Kumaresan, P. K. (2022). Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. In B. R. Chakravarthi, B. Bharathi, J. P. McCrae, M. Zarrouk, K. Bali, & P. Buitelaar (Eds.), LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop (pp. 369-377). (LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Chakravarthi, Bharathi Raja ; Priyadharshini, Ruba ; Thenmozhi, Durairaj et al. / Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop. editor / Bharathi Raja Chakravarthi ; B Bharathi ; John P McCrae ; Manel Zarrouk ; Kalika Bali ; Paul Buitelaar. Association for Computational Linguistics (ACL), 2022. pp. 369-377 (LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop).

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title = "Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments",

abstract = "Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the {"}Homophobia and Transphobia Detection in social media comments{"} shared task held at LTEDI 2022 - ACL 2022. This shared task focused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.",

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series = "LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop",

publisher = "Association for Computational Linguistics (ACL)",

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Chakravarthi, BR, Priyadharshini, R, Thenmozhi, D, McCrae, JP , Buitelaar, P, Ponnusamy, R & Kumaresan, PK 2022, Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. in BR Chakravarthi, B Bharathi, JP McCrae, M Zarrouk, K Bali & P Buitelaar (eds), LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop. LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop, Association for Computational Linguistics (ACL), pp. 369-377, 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, LTEDI 2022, Dublin, Ireland, 27/05/22.

Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. / Chakravarthi, Bharathi Raja; Priyadharshini, Ruba; Thenmozhi, Durairaj et al.
LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop. ed. / Bharathi Raja Chakravarthi; B Bharathi; John P McCrae; Manel Zarrouk; Kalika Bali; Paul Buitelaar. Association for Computational Linguistics (ACL), 2022. p. 369-377 (LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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AU - Chakravarthi, Bharathi Raja

AU - Priyadharshini, Ruba

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AU - Buitelaar, Paul

AU - Ponnusamy, Rahul

AU - Kumaresan, Prasanna Kumar

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N2 - Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the "Homophobia and Transphobia Detection in social media comments" shared task held at LTEDI 2022 - ACL 2022. This shared task focused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.

AB - Homophobia and Transphobia Detection is the task of identifying homophobia, transphobia, and non-anti-LGBT+ content from the given corpus. Homophobia and transphobia are both toxic languages directed at LGBTQ+ individuals that are described as hate speech. This paper summarizes our findings on the "Homophobia and Transphobia Detection in social media comments" shared task held at LTEDI 2022 - ACL 2022. This shared task focused on three sub-tasks for Tamil, English, and Tamil-English (code-mixed) languages. It received 10 systems for Tamil, 13 systems for English, and 11 systems for Tamil-English. The best systems for Tamil, English, and Tamil-English scored 0.570, 0.870, and 0.610, respectively, on average macro F1-score.

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M3 - Conference Publication

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A2 - Chakravarthi, Bharathi Raja

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ER -

Chakravarthi BR, Priyadharshini R, Thenmozhi D, McCrae JP , Buitelaar P, Ponnusamy R et al. Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments. In Chakravarthi BR, Bharathi B, McCrae JP, Zarrouk M, Bali K, Buitelaar P, editors, LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2022. p. 369-377. (LTEDI 2022 - 2nd Workshop on Language Technology for Equality, Diversity and Inclusion, Proceedings of the Workshop).

Overview of The Shared Task on Homophobia and Transphobia Detection in Social Media Comments

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