A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Grine, T (Author) Other; Carla Teixeira Lopes (Author) FEUP

Conference proceedings International

Title: Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

Pages: 23-38

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00Y-32V

DOI: 10.1007/978-3-031-23618-1_2

Abstract (EN): In a world increasingly present online, people are leaving a digital footprint, with valuable information scattered on the Web, in an unstructured manner, beholden to the websites that keep it. While there are potential harms in being able to access this information readily, such as enabling corporate surveillance, there are also significant benefits when used, for example, in journalism or investigations into Human Trafficking. This paper presents an approach for retrieving domain-specific information present on the Web using Social Media platforms as a gateway to other content existing on any website. It begins by identifying relevant profiles, then collecting links shared in posts to webpages related to them, and lastly, extracting and indexing the information gathered. The tool developed based on this approach was tested for a case study in the domain of Human Trafficking, more specifically in sexual exploitation, showing promising results and potential to be applied in a real-world scenario.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16