# Theory and Applications of Web 3.0 in the Media Sector
## 2 Contributions
The current paper envisions a DJ framework to mediate real-time breaking news coverage, introducing a data retrieval and semantics preprocessing approach to detect and classify news events suitable for DJ coverage. Based on this, breaking news alerts/notifications are sent to drone operators along with automated preparations of flight plans, embodying the existing regulatory framework, security, and ethical matters. Backend implementation and pilot evaluation of the proposed system are conducted, with a modular architecture facilitating the integration of news alerts sent by mobile devices, elaborating on the inherent localization and networking capabilities to extract time-, location-, and context-aware semantic metadata. The pilot results and the received feedback rated the proposed approach useful in providing the contextual and spatiotemporal attributes of breaking news, with a more holistic coverage of the events offered by combining diverse drone footage and UGC mobile streams (Contribution 5). The sixth paper addresses the fields of art and culture, some of the most eager to integrate with the Semantic Web since metadata, data structures, linked (open) data, and other building blocks of this Web of Things are considered essential in cataloging and disseminating art- and culture-related content (e.g., the Getty vocabularies project and the European initiative) [35]. [PERSON] et al. (2022), motivated by the constantly evolving nature of art, which is the subject of many journalist blogs and websites, proceeded to investigate the use of Semantic Web technologies in media outlets that diffuse art- and culture-related content. The study formulates quantitative metrics to evaluate Semantic Web integration in art and culture media outlets, analyzing the impact of that integration on websites' popularity in the modern competitive landscape of the Web. A vast array of art-related media outlets was investigated, ranging greatly in size and popularity, based on a variety of metrics that were consolidated into a comprehensive integration rating. Consequently, the connection between Semantic Web integration and popularity was analyzed through a gradient boosting analysis. They conclude that studying and analyzing the tangible presence of the Semantic Web are vital steps to monitor its progress and stay on course to achieve its true potential, which, so far, remains largely untapped. Apart from its importance in art and culture media, the conducted research methodology and practical implementation may be extended to multiple topics/domains and broader multidisciplinary collaborations in the news and media industries, where semantic services are expected to have a highly positive impact (Contribution 6). The seventh paper focuses on the development of a computer-supported toolbox with online functionality for assisting technically inexperienced users (journalists or the public) in visually investigating the consistency of audio streams to detect potential interventions coupled with disinformation [29]. [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON] (2022) elaborated on previous research [37; 38] to set an audio forensics web environment (which is very limited), emanating on the photo/image forensics examples (and their offered functionalities), with multiple related platforms being already available online [39]. The proposed framework incorporates several algorithms on its backend implementation, including a novel CNN model that performs a Signal-to-Reverberation ratio (SRR) estimation with a mean square error of 2.9%. Hence, it is, for instance, feasible to monitor the conditions of the sound-capturing site (i.e., the \"room acoustics\") to detect recording inconsistencies and possible audio tampering. Users can access the application online to upload the audio/video file (or YouTube link) they want to inspect audio-wise. Then, a set of interactive visualizations are generated as outcomes of Digital Signal Processing and Machine Learning models, facilitating audio continuity and consistency evaluation.