The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems
Bin Wang, Tianjian Liu, Wenqi Wang, Yuan Weng, Chao Li, Guangquan Xu,, Meng Shen, Sencun Zhu, and Wei Wang

TL;DR
This paper explores how user actions, including fabricated activities and engagement behaviors, impact privacy in Web3 social ecosystems, revealing vulnerabilities and the need for better privacy safeguards.
Contribution
It uncovers the influence of user engagement and deceptive behaviors on privacy risks in Web3 social platforms, highlighting the necessity for improved privacy measures.
Findings
Fabricated activities distort user metrics and privacy.
Highly engaged users can inadvertently breach collective privacy.
Current privacy measures are insufficient against deceptive behaviors.
Abstract
The rise of Web3 social ecosystems signifies the dawn of a new chapter in digital interaction, offering significant prospects for user engagement and financial advancement. Nonetheless, this progress is shadowed by potential privacy concessions, especially as these platforms frequently merge with existing Web2.0 social media accounts, amplifying data privacy risks for users. In this study, we investigate the nuanced dynamics between user engagement on Web3 social platforms and the consequent privacy concerns. We scrutinize the widespread phenomenon of fabricated activities, which encompasses the establishment of bogus accounts aimed at mimicking popularity and the deliberate distortion of social interactions by some individuals to gain financial rewards. Such deceptive maneuvers not only distort the true measure of the active user base but also amplify privacy threats for all members…
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Taxonomy
TopicsPrivacy, Security, and Data Protection
