Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright
Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang, Xing, Mark Staples, Qinghua Lu, Liming Zhu

TL;DR
This paper proposes a user-controlled consent tagging framework utilizing HTTP, HTML, and blockchain technology to empower users to manage their online data rights, including privacy and copyright, in a decentralized manner.
Contribution
It introduces a novel, extensible framework enabling users to tag, track, and withdraw consent for their online data, addressing current gaps in privacy and copyright enforcement.
Findings
Proof-of-concept demonstrates feasibility
Framework enables user-controlled data consent management
Potential to enhance privacy and copyright protections
Abstract
The World Wide Web, a ubiquitous source of information, serves as a primary resource for countless individuals, amassing a vast amount of data from global internet users. However, this online data, when scraped, indexed, and utilized for activities like web crawling, search engine indexing, and, notably, AI model training, often diverges from the original intent of its contributors. The ascent of Generative AI has accentuated concerns surrounding data privacy and copyright infringement. Regrettably, the web's current framework falls short in facilitating pivotal actions like consent withdrawal or data copyright claims. While some companies offer voluntary measures, such as crawler access restrictions, these often remain inaccessible to individual users. To empower online users to exercise their rights and enable companies to adhere to regulations, this paper introduces a user-controlled…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPrivacy, Security, and Data Protection · Web Data Mining and Analysis · Advanced Malware Detection Techniques
