Unsupervised Labor Intelligence Systems: A Detection Approach and Its Evaluation: A Case Study in the Netherlands

Giuseppe Cascavilla, Gemma Catolino, Fabio Palomba, Andreas S. Andreou, Damian A. Tamburri, Willem Jan Van Den Heuvel

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In recent years, job advertisements through the web or social media represent an easy way to spread this information. However, social media are often a dangerous showcase of possibly labor exploitation advertisements. This paper aims to determine the potential indicators of labor exploitation for unskilled jobs offered in the Netherlands. Specifically, we exploited topic modeling to extract and handle information from textual data about job advertisements for analyzing deceptive and characterizing features. Finally, we use these features to investigate whether automated machine learning methods can predict the risk of labor exploitation by looking at salary discrepancies. The results suggest that features need to be carefully monitored, e.g., hours. Finally, our results showed encouraging results, i.e., F1-Score 61%, thus meaning that Data Science methods and Artificial Intelligence approaches can be used to detect labor exploitation—starting from job advertisements—based on the discrepancy of delta salary, possibly representing a revolutionary step.

Originele taal-2Engels
TitelService-Oriented Computing - 16th Symposium and Summer School, SummerSOC 2022, Revised Selected Papers
RedacteurenJohanna Barzen, Frank Leymann, Schahram Dustdar
UitgeverijSpringer
Pagina's79-98
Aantal pagina's20
ISBN van geprinte versie9783031183034
DOI's
StatusGepubliceerd - 2022
Evenement16th Symposium and Summer School on Service-Oriented Computing, SummerSOC 2022 - Hersonissos, Griekenland
Duur: 3 jul. 20229 jul. 2022

Publicatie series

NaamCommunications in Computer and Information Science
Volume1603 CCIS
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Congres

Congres16th Symposium and Summer School on Service-Oriented Computing, SummerSOC 2022
Land/RegioGriekenland
StadHersonissos
Periode3/07/229/07/22

Bibliografische nota

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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