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

Arianna Rossi, M. Arenas, Emre Kocyigit, Moad Hani
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引用次数: 1

Abstract

This article discusses 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.
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保护社交媒体数据机密性的挑战及其道德意义
本文讨论了为网络安全研究目的而对非结构化、嘈杂的社交媒体数据进行假名化的挑战,并介绍了一个开发用于假名化此类数据中包含的个人和机密信息(即个人姓名、公司和位置)的开源包。其目标是促进遵守欧盟数据保护义务,维护研究伦理原则,如尊重研究参与者的自主权、隐私和尊严、研究人员的社会责任和科学诚信。我们讨论了假名包的局限性,他们的道德进口,以及应该采取的额外安全措施,以保护数据的机密性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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