DRPChain: A new blockchain-based trusted DRM scheme for image content protection.

The unauthorized replication and distribution of digital images pose significant challenges to copyright protection. While existing solutions incorporate blockchain-based techniques such as perceptual hashing and digital watermarking, they lack large-scale experimental validation and a dedicated blockchain consensus protocol for image copyright management. This paper introduces DRPChain, a novel digital image copyright management system that addresses these issues. DRPChain employs an efficient cropping-resistant robust image hashing algorithm to defend against 14 common image attacks, demonstrating an 85% success rate in watermark extraction, 10% higher than the original scheme. Moreover, the paper designs the K-Raft consensus algorithm tailored for image copyright protection. Comparative experiments with Raft and benchmarking against PoW and PBFT algorithms show that K-Raft reduces block error rates by 2%, improves efficiency by 300ms compared to Raft, and exhibits superior efficiency,decentralization, and throughput compared to PoW and PBFT. These advantages make K-Raft more suitable for digital image copyright protection. This research contributes valuable insights into using blockchain technology for digital copyright protection, providing a solid foundation for future exploration.

Plagiarism and Authorship Credit.

Literature being an expression of an author, its commodification historically has assigned a value to it primarily in terms of authorship credit. Arguably reproducing published content without attributing the requisite source, termed as plagiarism is ethically discrediting to this premise. However, simply weighing its proportion based on digitally assigned semantic similarity may not be completely justifiable in the present-day digital atmosphere. It should be noted that while technology can facilitate plagiarism detection, digitization by way of providing greater access to published content is also the facilitator of plagiarism. While the scientific community is often severe in its approach toward the act of plagiarism, there is still a lack of clarity around the code of conduct of the same as there are several grey areas related to such a misconduct on which the law remains silent. By revisiting the historical evolution of the credit of authorship and the copyright law this piece presents an analytical vista pertaining to plagiarism in a different light. By identifying the gaps in the present-day handling of these age-old concepts, one may find that there is an unmet need to revisit the legal aspects of handling cases of plagiarism taking into consideration the digital environment.

An evolutionary game analysis of algorithmic indirect copyright infringement from the perspective of collusion between UGC platforms and direct infringers.

User-generated content (UGC) is developing rapidly as an emerging platform form, however, the problem of indirect copyright infringement by algorithms is becoming more and more prominent, and infringement governance has become a key act in the development of UGC platforms. When infringement occurs, recommendation algorithms expand the scope and results of infringement, while platforms choose to conspire with direct infringers for their own interests, making it difficult for infringed persons to defend their rights. In order to analyse the influence of different factors in the platform ecosystem on the subject's behavioural strategies, a "platform-infringer" evolutionary game model is constructed, and numerical simulation is used to verify the correctness of the stable results. Based on the simulation results, it is concluded that the factors of uncertain revenue, punishment and reputation loss have important influence on the decision-making behaviour of the subject of infringement governance, and accordingly, the proposed measures on the publishers, platforms and the legal level of the government are conducive to the evolution of the system to the point of positive regulation and stability of rights protection, with a view to promoting the healthier and more stable development of the UGC platforms.

Generative AI, UK Copyright and Open Licences: considerations for UK HEI copyright advice services.

With the enormous growth in interest and use of generative artificial intelligence (AI) systems seen since the launch of ChatGPT in autumn 2022 have come questions both about the legal status of AI outputs, and of using protected works as training inputs. It is inevitable that UK higher education institution (HEI) library copyright advice services will see an increase in questions around use of works with AI as a result. Staff working in such library services are not lawyers or able to offer legal advice to their academic researchers. Nonetheless, they must look at the issues raised, consider how to advise in analogous situations of using copyright material, and offer opinion to researchers accordingly. While the legal questions remain to be answered definitively, copyright librarians can still offer advice on both open licences and use of copyright material under permitted exceptions. We look here at how library services can address questions on copyright and open licences for generative AI for researchers in UK HEIs.

An invisible, robust copyright protection method for DNN-generated content.

Wide deployment of deep neural networks (DNNs) based applications (e.g., style transfer, cartoonish), stimulating the need for copyright protection of such application's production. Though some traditional visible copyright techniques exist, they often introduce undesired artifacts and compromise the aesthetic quality of the images. In this paper, we propose a novel invisible, robust copyright protection method, which is composed of two networks: the copyright encoder and the copyright decoder. The former projects the copyright information to the invisible perturbation with the drive of both the input of images and copyright information, thereby adding it to the image and yielding encoded images. The copyright decoder extracts copyright information from encoded images. Moreover, a robustness module is integrated to enhance the decoder's ability to decipher images against various distortions encountered on social media platforms. Furthermore, the loss function is elaborately designed, taking into account both feature space and color space, to guarantee the quality of encoded and decoded copyright images. Extensively objective and subjective experiments validate the effectiveness of the proposed method. Additionally, the physical test is conducted by posting the encoded images to social media (e.g., Weibo and Twitter) and downloading them to verify the feasibility of the proposed method in practice.

(Free) Creative Commons content on the internet is not so free after all: The pitfalls and details of copyright laws and licenses.

A short guide on how copyright law affects using content from the internet for academic publications and presentations.

Social media as a disruptor for academic congresses.

Over the past few years, social media has become integral to surgical communication, research, and patient education. Furthermore, they have revolutionized how academic congresses have been held over the past 10 years. There are several benefits resulting from social media integration in scientific meetings, such as disseminating content, increasing engagement, highlighting important messages, and educating patients and physicians. Furthermore, social media platforms provide free and equal engagement of all users; no matter the experience, the level of training, or the socioeconomic background, all participants are free to express their opinion and discuss with world-renowned experts-an opportunity that was available only for the few and privileged ones in the past. Nevertheless, when talking about social media, one must bear in mind that there is a huge variety of platforms that are not all equally used or universally accessed. Besides the benefits highlighted above, this new social media-enhanced reality has some disadvantages as well: lack of any control of content along with anonymity can sometimes lead to dangerous and hostile behaviors as well as set the playground for personal feuds, ulterior financial motives, and bullying. Furthermore, the accuracy of content could be somewhat controversial, especially when pieces of presentations are taken out of context. Violations of intellectual property and copyrights are also to be considered. Social media platforms are a great tool for enhancing academic congresses when appropriately used. It is undebatable that social media has changed how information, content, and material are shared and promoted. Nevertheless, as with everything in life, their use needs to be in "good measure"-appropriate, mindful, and respectful-so that social media can be a powerful tool instead of a dangerous weapon in inappropriate hands.

Subsidies versus intellectual property rights when innovators operate in two markets.

Intellectual property rights are monopoly rights, which have undesirable welfare properties. Therefore, several studies suggest using rewards as incentives for innovation instead. However, these studies have thus far had little effect on actual policy, possibly because such rewards may be difficult to implement in practice. We suggest a new way of providing incentives to originators, which is easier to implement. Our suggestion can be used if there is an additional market in which originators operate, where copying is not easily possible. In this case, intellectual property rights in one market can be replaced by subsidies in the other market. Taking the music industry as example, copyrights in the records market could be replaced by subsidies in the market for live performances. We develop a partial equilibrium model that can be used to analyze in which cases the replacement of intellectual property rights in one market with subsidies in another market is welfare improving and better for the originator. A numerical application example suggests that the subsidy scheme may indeed be better in the music industry. The subsidy scheme can be implemented as a voluntary option, which would even be possible without changing the legal framework of intellectual property rights.