Reference : Challenges of protecting confidentiality in social media data and their ethical import

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Law / European Law
	To cite this reference:	http://hdl.handle.net/10993/51773

Title :	Challenges of protecting confidentiality in social media data and their ethical import
Language :	English
Author, co-author :	Rossi, Arianna [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust]
	Arenas Correa, Monica Patricia [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
	Kocyigit, Emre [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC >]
	Hani, Moad [Université de Mons - UMONS]
Publication date :	2022
Journal title :	2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
Special issue title :	2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
Pages :	554-561
Peer reviewed :	Yes
Audience :	International
Event name :	The 1st International Workshop on Ethics in Computer Security (EthiCS 2022)
Event date :	10-06-2022
Event organizer :	University of Genoa, CINI - Consorzio Interuniversitario Nazionale per l'Informatica
Event place (city) :	Genoa
Event country :	Italy
Keywords :	[en] Pseudonymization ; security measures ; GDPR compliance ; research ethics ; Named Entity Recognition
Abstract :	[en] This article discussed the challenges of pseudonymizing unstructured, noisy social media data for cybersecurity research purposes and presents an open- source package developed to pseudonymize personal and confidential information (i.e., personal names, companies, and locations) contained in such data. Its goal is to facilitate compliance with EU data protection obligations and the upholding of research ethics principles like the respect for the autonomy, privacy and dignity of research participants, the social responsibility of researchers, and scientific integrity. We discuss the limitations of the pseudonymizer package, their ethical import, and the additional security measures that should be adopted to protect the confidentiality of the data.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Socio-Technical Cybersecurity (IRiSC)
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	DECEPTICON
Permalink :	http://hdl.handle.net/10993/51773
DOI :	10.1109/EuroSPW55150.2022.00066
Other URL :	https://ieeexplore.ieee.org/document/9799350
FnR project :	FnR ; FNR14717072 > Gabriele Lenzini > DECEPTICON > Deceptive Patterns Online > 01/06/2021 > 31/05/2024 > 2020

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