Operations research and analytics to combat human trafficking: A systematic review of academic literature
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …
occurring in every region of the world. While there have been an increasing number of anti …
Ethical tensions in applications of ai for addressing human trafficking: A human rights perspective
In the last two decades, human trafficking (where individuals are forcibly exploited for the
profits of another) has seen increased attention from the artificial intelligence (AI) community …
profits of another) has seen increased attention from the artificial intelligence (AI) community …
InfoShield: Generalizable information-theoretic human-trafficking detection
Given a million escort advertisements, how can we spot near-duplicates? Such micro-
clusters of ads are usually signals of human trafficking. How can we summarize them …
clusters of ads are usually signals of human trafficking. How can we summarize them …
Bottleneck-based encoder-decoder architecture (bear) for learning unbiased consumer-to-consumer image representations
Unbiased representation learning is still an object of study under specific applications and
contexts. Novel architectures are usually crafted to resolve particular problems using …
contexts. Novel architectures are usually crafted to resolve particular problems using …
TRAFFICVIS: visualizing organized activity and spatio-temporal patterns for detecting and labeling human trafficking
Law enforcement and domain experts can detect human trafficking (HT) in online escort
websites by analyzing suspicious clusters of connected ads. How can we explain clustering …
websites by analyzing suspicious clusters of connected ads. How can we explain clustering …
Deltashield: Information theory for human-trafficking detection
Given a million escort advertisements, how can we spot near-duplicates? Such micro-
clusters of ads are usually signals of human trafficking (HT). How can we summarize them to …
clusters of ads are usually signals of human trafficking (HT). How can we summarize them to …
[HTML][HTML] A meta-engine for building domain-specific search engines
M Kejriwal - Software Impacts, 2021 - Elsevier
In recent years, domain-specific search (DSS) has emerged as a growing and important
area of applied research in artificial intelligence (AI) and information retrieval (IR). Over the …
area of applied research in artificial intelligence (AI) and information retrieval (IR). Over the …
Network-theoretic information extraction quality assessment in the human trafficking domain
M Kejriwal, R Kapoor - Applied Network Science, 2019 - Springer
Abstract Information extraction (IE) is an important problem in Natural Language Processing
(NLP) and Web Mining communities. Recently, IE has been applied to online sex …
(NLP) and Web Mining communities. Recently, IE has been applied to online sex …
COVID-19 pandemic's impact on online sex advertising and sex trafficking
JO Coxen, V Castro, B Carr, G Bredin… - Journal of Human …, 2023 - Taylor & Francis
Disruptive social events such as the COVID-19 pandemic can have a significant impact on
sex trafficking and the working conditions of victims, yet these effects have been little …
sex trafficking and the working conditions of victims, yet these effects have been little …
Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements
AR Perez, P Rivas - arXiv preprint arXiv:2311.13118, 2023 - arxiv.org
This project tackles the pressing issue of human trafficking in online C2C marketplaces
through advanced Natural Language Processing (NLP) techniques. We introduce a novel …
through advanced Natural Language Processing (NLP) techniques. We introduce a novel …