Digital financial services can introduce new digital-safety risks for users, particularly survivors of intimate partner financial abuse (IPFA). To offer improved support for such users, a comprehensive understanding of their support needs and the barriers they face to redress by financial institutions is essential. Drawing from a dataset of 2.7 million customer complaints, we implement a bespoke workflow that utilizes language-modeling techniques and expert human review to identify complaints describing IPFA. Our mixed-method analysis provides insight into the most common digital financial products involved in these attacks, and the barriers consumers report encountering when doing so. Our contributions are twofold; we offer the first human-labeled dataset for this overlooked harm and provide practical implications for technical practice, research, and design for better supporting and protecting survivors of IPFA.
@article{arxiv.2403.13944,
title = {Shortchanged: Uncovering and Analyzing Intimate Partner Financial Abuse in Consumer Complaints},
author = {Arkaprabha Bhattacharya and Kevin Lee and Vineeth Ravi and Jessica Staddon and Rosanna Bellini},
journal= {arXiv preprint arXiv:2403.13944},
year = {2024}
}
Comments
20 pages, 9 figures, 8 tables, This paper will be published in CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems