2 research outputs found
The Uli Dataset: An Exercise in Experience Led Annotation of oGBV
Online gender based violence has grown concomitantly with 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 has 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
Collecting data for equity and justice: approaches and methods for collecting sex and gender data
This chapter seeks to address the challenge of collecting data about individual and interpersonal experiences of sex and gender to advance justice and equity in a context where gender and sex classifications have been used to erase and subdue non-conforming identities. The authors outline the field of previous studies on the topic, then illustrate the need for data collection with a human rights approach illustrated by case studies from three geographical contexts. First, the importance of accurate and just data for equitable access to public services is highlighted through a case study of transgender inclusion in public data in India. Second, the importance of collecting data with communities is illustrated through the example of a feminist association of transgender women based in South Africa. Finally, the authors provide ideas for designing data collection instruments, illustrated through changes in the Australian data collection standards initiated by advocacy and activist groups. © 2023 by IGI Global