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Track Me if You Can: Insights into Profile Interlinking on Social Networks

Authors:
Sergej Denisov
Frederik Simon Bäumer
Michaela Geierhos

Keywords: Social network services, Data privacy

Abstract:
Social networks shape today's Web with modern communication capabilities and the ability to share heterogeneous media. The various networks have different focuses and reach different user groups so that users are often registered and active on multiple networks to take advantage of the respective benefits. In the ADRIAN project, we study threats to users on the Web, focusing on the creation of Digital Twins of real users. Here, we investigate the interlinking of user profiles on Social Networks and derive insights that help us model Digital Twins. We discuss the possibilities of using links to find additional profiles and assign them to users. To do this, both the links and the information in the profiles are examined. Only with high-quality data, it is possible to warn users reliably about the dangers of disclosing data.

Pages: 18 to 21

Copyright: Copyright (c) IARIA, 2022

Publication date: April 24, 2022

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-953-9

Location: Barcelona, Spain

Dates: from April 24, 2022 to April 28, 2022