Resources for Automated Identification of Online Gender-Based Violence: A Systematic Review
Gavin Abercrombie, Aiqi Jiang, Poppy Gerrard-Abbott, Ioannis Konstas, Verena Rieser · 2023
Online Gender-Based Violence (GBV), such as misogynistic abuse, is an increasingly prevalent problem that technological approaches have struggled to address.Through the lens of the GBV framework, which is rooted in social science and policy, we systematically review 63 available resources for automated identification of such language.We find the datasets are limited in a number of important ways, such as their lack of theoretical grounding and stakeholder input, static nature, and focus on certain media platforms.Based on this review, we recommend development of future resources rooted in sociological expertise and centering stakeholder voices, namely GBV experts and people with lived experience of GBV.Databases Following a scoping study to establish coverage of GBV-related publications and datasets, we searched two databases: the DBLP Computer Science Bibliography 2 and hatespeechdata.com.3 We found that these were sufficient to cover all papers published at typical NLP venues such as the ACL Anthology.4 Keyword selection We used the primary search keywords misogyn*, sexis*, and "gender based violence".For DBLP, to capture publications that concern hate speech and abusive language more generally, but that include categories relevant to GBV, we also search using the secondary keywords hate speech | detection | rhetoric, abuse,