The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems
<|reference_start|>The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems: 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 of the user community. We also find that, notwithstanding their attempts to limit social exposure, users remain entangled in privacy vulnerabilities. The actions of those highly engaged users, albeit often a minority group, can inadvertently breach the privacy of the larger collective.   By casting light on the delicate interplay between user engagement, financial motives, and privacy issues, we offer a comprehensive examination of the intrinsic challenges and hazards present in the Web3 social milieu. We highlight the urgent need for more stringent privacy measures and ethical protocols to navigate the complex web of social exchanges and financial ambitions in the rapidly evolving Web3.<|reference_end|>
@article{wang2024the,
    title={The Illusion of Anonymity: Uncovering the Impact of User Actions on
  Privacy in Web3 Social Ecosystems},
    author={Bin Wang, Tianjian Liu, Wenqi Wang, Yuan Weng, Chao Li, Guangquan Xu,
  Meng Shen, Sencun Zhu, and Wei Wang},
    journal={arXiv preprint arXiv:2405.13380},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13380},
    primaryClass={cs.CR}
}