The Uli Dataset: An Exercise in Experience Led Annotation of oGBV

Arnav Arora, Maha Jinadoss, Cheshta Arora, Denny George, Brindaalakshmi, Haseena Khan, Kirti Rawat, Div, Ritash, Seema Mathur

Abstract
Online gender-based violence has grown concomitantly with the adoption of the internet and social media. Its effects are worse in the Global majority where many users use social media in languages other than English. The scale and volume of conversations on the internet have necessitated the need for automated detection of hate speech and, more specifically, gendered abuse. There is, however, a lack of language-specific and contextual data to build such automated tools. In this paper, we present a dataset on gendered abuse in three languages- Hindi, Tamil and Indian English. The dataset comprises of tweets annotated along three questions pertaining to the experience of gender abuse, by experts who identify as women or a member of the LGBTQIA+ community in South Asia. Through this dataset, we demonstrate a participatory approach to creating datasets that drive AI systems.
Anthology ID:
2024.woah-1.16
Volume:
Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
Month:
June
Year:
2024
Address:
Mexico City, Mexico
Editors:
Yi-Ling Chung, Zeerak Talat, Debora Nozza, Flor Miriam Plaza-del-Arco, Paul Röttger, Aida Mostafazadeh Davani, Agostina Calabrese
Venues:
WOAH | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
212–222
Language:
URL:
https://aclanthology.org/2024.woah-1.16
DOI:
Bibkey:
Cite (ACL):
Arnav Arora, Maha Jinadoss, Cheshta Arora, Denny George, Brindaalakshmi, Haseena Khan, Kirti Rawat, Div, Ritash, and Seema Mathur. 2024. The Uli Dataset: An Exercise in Experience Led Annotation of oGBV. In Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), pages 212–222, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
The Uli Dataset: An Exercise in Experience Led Annotation of oGBV (Arora et al., WOAH-WS 2024)
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PDF:
https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.woah-1.16.pdf
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