# Theory and Applications of Web 3.0 in the Media Sector
## 2 Contributions
Users can evaluate the authenticity of the dataset samples, with files stored in the database supplemented by analysis results and crowdsourced annotations. Audio semantics bring added value to audiovisual forensics and multimedia disinformation detection, featuring lighter processing (compared to video) with the sound's inherent continuity (i.e., the sound is always present in a recording, regardless of the microphone steering and the camera's viewing angle). Pilot evaluation results validated the usefulness of the aimed functionality, also considering that very few related applications exist (Contribution 7). The eighth paper also focuses on the online misinformation problem, introducing a tool for analyzing the social web and gaining insights into communities that drive misinformation online [27]. More specifically, [PERSON] et al. (2022) present the MeVer NetworkX analysis and visualization tool, which helps users delve into Social Media conversations, gaining insights about how information propagates and accumulating intuition about communities formed via interactions. The multidisciplinary contribution of MeVer lies in its easy navigation through a multitude of features, providing valuable insights about the account behaviors and data propagation in Online Social Networks, i.e., Twitter, Facebook, and Telegram graphs, while also encompassing the modularity to integrate more platforms. Four Twitter datasets related to COVID-19 disinformation were utilized to present the tool's functionalities and evaluate its effectiveness. As the authors conclude, to the best of their knowledge, MeVer stands as the only tool supporting the analysis of multiple platforms and even providing cross-platform investigations, aiming at facilitating the demanding work of journalists and fact checkers to combat disinformation. The presented use cases utilizing the advanced functionalities offered by the tool validated the usefulness and impact of the approach. For instance, aggregation and visualization capabilities provide easy ways to navigate large graphs without special knowledge. Hence, the crafted functionalities user in semi-automatic procedures that increase productivity, promote cooperation, and save time, making the tool applicable even to average users (Contribution 8). The ninth paper emphasizes aesthetic trends and Semantic Web adoption of media outlets, as identified through automated archival data extraction and analysis processes [36]. [PERSON], [PERSON], [PERSON], and [PERSON] (2022) employed various web data extraction techniques to collect current and archival information from popular news websites in Greece to monitor and record their progress through time. Specifically, HTML source code and homepage screenshots were collected for a large number of websites (the top 1000 online media outlets based on Web traffic) using automated archival data extraction techniques to investigate the evolution of their homepage throughout different time instances for two decades. This gathered information was used to identify Semantic Web integration trends, Document Object Model (DOM) structure complexity, number of graphics, color usage, and more. The identified trends were analyzed and discussed as a means to gain a better understanding of the ever-changing presence of the media industry on the Web, with the evolution of Semantic Web technologies proving to be rapid and extensive in online media outlets. Furthermore, website structural and visual complexity presented a steady and significant positive trend, accompanied by increased adherence to color harmony. In conclusion, the study underlines the constantly evolving World Wide Web, influenced both by the rise and fall of technologies and by the continuous changes in human nature through cultural trends, global events, and globalization in general. The conducted study and its novel methods can be extended to provide valuable knowledge pertaining not only to the present but hopefully preparing us for the future.