Tag Your Fish in the Broken Net: A Responsible Web Framework for
Protecting Online Privacy and Copyright
- URL: http://arxiv.org/abs/2310.07915v2
- Date: Sun, 5 Nov 2023 07:09:55 GMT
- Title: Tag Your Fish in the Broken Net: A Responsible Web Framework for
Protecting Online Privacy and Copyright
- Authors: Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang
Xing, Mark Staples, Qinghua Lu, Liming Zhu
- Abstract summary: This paper introduces a user-controlled consent tagging framework for online data.
With this framework, users have the ability to tag their online data at the time of transmission, and subsequently, they can track and request the withdrawal of consent for their data from the data holders.
- Score: 30.05760947688919
- License: http://creativecommons.org/licenses/by/4.0/
- 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 consent tagging framework
for online data. It leverages the extensibility of HTTP and HTML in conjunction
with the decentralized nature of distributed ledger technology. With this
framework, users have the ability to tag their online data at the time of
transmission, and subsequently, they can track and request the withdrawal of
consent for their data from the data holders. A proof-of-concept system is
implemented, demonstrating the feasibility of the framework. This work holds
significant potential for contributing to the reinforcement of user consent,
privacy, and copyright on the modern internet and lays the groundwork for
future insights into creating a more responsible and user-centric web
ecosystem.
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