PhD Candidate
Nikos Kapellas is a Ph.D. candidate at the Department of Archival, Library, and Information Studies at the University of Western Attica. He graduated in 2012 from the Department of Archives, Library Science, and Museology, Ionian University. His undergraduate thesis, supervised by Professor Ioannis Papadakis, was titled “Application Profiles for the Collection Eptanisiaka in DSpace.”
In 2012-2013, he pursued postgraduate studies in “Computer Multimedia Engineering” at the University of Paris V. For his master’s thesis, titled “Construction of an ontology from a knowledge corpus for a microbial cell production and stabilization system,” he worked briefly at the National Institute of Agronomic Research (INRA) in Paris.
In 2014, he began the Master of Science program in “Management of Cultural Information and New Technologies” at the Department of Archives, Library Science, and Museology, Ionian University in Corfu. He completed the program with a grade of 8.6 (Excellent), and his master’s thesis focused on “Development of an Archiving Website to Host the Research ‘Forms of Greek Leadership and Anti-Leadership from 1800 to 1989’.”
Throughout his academic and professional journey, he has attended and participated in seminars, and workshops related to the broader field of library and information science. He has also published research papers at international conferences.
He has professional experience in various fields and has been working as a Technical Documentation Writer in the private sector in recent years. Previously, he worked as a head librarian in a school library, combining his domain-knowledge with education.
Title of the Doctoral Dissertation:
Exploring Patterns, Correlations, and Similarities in Greek Online Media
Summary of the Doctoral Dissertation Topic:
Online media is undeniably an integral part of people’s daily lives. Like television and radio, the traditional media it tends to replace, it also presents certain challenges. One of these challenges is the significant similarity observed between news articles covering a specific event, published by different media outlets.
This doctoral proposal aims to investigate this phenomenon of article similarity and map potential correlations among media outlets. During the research, datasets consisting of news articles published in Greek online media, offering open access to their content, will be created. Based on these datasets, we will describe the parameters that define article similarity and how they influence it. The outcome
of this analysis is expected to lead to the discovery of new patterns related to online news. Furthermore, we are interested in examining the degree of this similarity to track the evolution of news over time, identify original publications, group them, and investigate cases of bias or false publications.