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Leveraging Victim Voices: Unveiling True Needs Through Natural Language Processing in Trauma Narratives

Document Cited in Related
Published date01 October 2024
DOIhttp://doi.org/10.1177/25166069241281837
AuthorJulia Muraszkiewicz,James Cadman
Date01 October 2024
Leveraging Victim
Voices: Unveiling True
Needs Through Natural
Language Processing in
Trauma Narratives
Julia Muraszkiewicz1 and James Cadman1
Abstract
This article explores the intersection of technology, particularly artificial intel-
ligence and anti-human trafficking and child sexual exploitation (CSE) initiatives.
Despite the promises of technology, the overall effectiveness in addressing these
crimes is limited. The authors argue that a key factor contributing to this limitation
is the insufficient understanding of the crimes, rooted in the absence of meaningful
engagement with victims. To address these challenges, the authors propose two
strategies. First, they advocate for data-sharing partnerships to access extensive
textual data held by organizations. Second, they highlight the use of natural lan-
guage processing (NLP) to systematically analyse victim narratives without causing
further interview fatigue. Embracing NLP is seen as a way to expedite research,
enhance scalability and provide a fresh perspective on combating human traffick-
ing and CSE. The article is structured to define key terminology, make a case
for a victim-led response, demonstrate the application of NLP and conclude with
insights from in-house research. The authors urge stakeholders to consider this
new approach in their efforts to combat human trafficking and CSE.
Keywords
AI, human trafficking, modern slavery, NLP, victim voices
Introduction
In recent years, there has been a noticeable surge in anti-human trafficking
and combating child sexual exploitation (CSE) initiatives, from an increase in
the adoption of national and regional legislations, updates of existing legislation
Original Article
Journal of Victimology
and Victim Justice
7(2) 133–144, 2024
2024 National Law
University Delhi
Article reuse guidelines:
in.sagepub.com/journals-permissions-india
DOI: 10.1177/25166069241281837
journals.sagepub.com/home/vvj
1 Trilateral Research, London, United Kingdom
Corresponding author:
Julia Muraszkiewicz, Trilateral Research, One Knightsbridge Green, 5th Floor, London SW1X 7QA,
United Kingdom.
E-mail: j.muraszkiewicz@gmail.com

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