Akademik Veri Yönetim Sistemi
Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.39, sa.2, ss.1153-1166, 2024 (SCI-Expanded)
Due to the increasing availability of data, information pollution and disinformation have become more prevalent in digital journalism. In the past, access to information was emphasized as a right, but today, the right to information pollution protection has emerged. The primary reasons for this are the inability to monitor the vast amount of news circulating in the digital environment and the absence of a structure to govern the responsibilities of digital news sharing. Our research has developed a data model for digital journalism to address such issues. In addition to providing the FAIR principles, the data model we propose for digital journalism creates a trustworthy social media network by enabling the news to have a logical relationship with each other and all news processes to be observed. For a data model to support an observable and traceable social media environment, it must be compatible with graph structures containing massive amounts of data. Although existing blockchain technologies allow for observation and monitoring, they do not support graph data structures. The model and data are separated in the proposed structure, and indexing mechanisms are supported to address these issues. The proposed data model was compared to the blockchain technology data model. In terms of time and space complexity, sustainability, and maintenance costs, it was determined that the model we created for digital journalism was superior to the data model of blockchain technology.