As misinformation has become a global phenomenon in the age of digitalization, journalists are expected to provide verified information and prevent the spread of fake news in order to protect the credibility of their profession. This challenge has intensified as conflicts and propaganda became increasingly complex, and in order to stay relevant some may sacrifice reliability for clicks or to serve their own agendas. Therefore, mechanisms that help institutions maintain their reputation and reliability must be implemented. In this study, we propose a solution that enables and automates the verification of sources within the article to enhance the article verification system by enabling the provenance of referenced information. This study helps to lay the groundwork for mechanisms that ensure trust-worthiness, enabling the development of solutions for domains where source-to-source is critical. In doing so, it advances the literature on fake news and blockchain applications offering a tool to help institutions preserve their reputation and elevate standards within the news industry.

Monitoring business processes within complex supply chains demands efficient data collection and analytics tailored to diverse phenomena. Traditional centralized solutions face limitations in adapting to the dynamic nature of supply chains. This calls for distributed solutions which break the usual architectural assumption to have a central entity in charge of collecting, integrating and offering tools for the analysis. This project, embedded in a larger initiative called MICS, proposes an inno-vative distributed monitoring solution integrating blockchain for a trustworthy and efficient data analytics strategy that preserves data sovereignty in complex collaborative environments. Leveraging the cloud -edge continuum, the solution aims to ensure secure data exchange, adherence to agreements, and real-time analytics. Expected outcomes include an innovative federated architecture, 5G slice management solutions, an adversarial analysis of supply chain security, and a proof-of-concept implementation of the blockchain-based data flow tracking system. These developments aim to enhance the reliability, security, and efficiency of supply chain monitoring in dynamic industrial environments.