Margaret Tobey

College of Engineering

Works (2)

Updated: April 11th, 2023 10:13

2023 article

Detecting Human Trafficking: Automated Classification of Online Customer Reviews of Massage Businesses

Li, R., Tobey, M., Mayorga, M. E., Caltagirone, S., & Ozaltin, O. Y. (2023, February 22). M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, Vol. 2.

By: R. Li n, M. Tobey n, M. Mayorga n , S. Caltagirone & O. Ozaltin n 

author keywords: human trafficking; massage businesses; online customer reviews; Natural Language Processing; ensemble learning
TL;DR: The proposed models can save countless hours in IMB investigations by automatically sorting through large quantities of data to flag potential illicit activity, eliminating the need for manual screening of these reviews by law enforcement and other stakeholders. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: March 20, 2023

2022 article

Interpretable models for the automated detection of human trafficking in illicit massage businesses

Tobey, M., Li, R., Ozaltin, O. Y., Mayorga, M. E., & Caltagirone, S. (2022, August 28). IISE TRANSACTIONS, Vol. 8.

By: M. Tobey n, R. Li n, O. Ozaltin n , M. Mayorga n  & S. Caltagirone

author keywords: Human trafficking; illicit massage; interpretable machine learning; risk scores; decision trees
TL;DR: This work uses findings from primary stakeholder interviews with law enforcement, regulatory bodies, legitimate massage practitioners, and subject-matter experts from nonprofit organizations to identify data sources and potential indicators of illicit massage businesses (IMBs). (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: September 26, 2022

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