PhD student
nkapellas@uniwa.gr
Nikos Kapellas is a PhD candidate in the Department of Archival, Library and Information Studies, University of West Attica ( January 2022-today).
In 2011 he graduated from the Department of Archives, Library Science and Museology, Ionian University. His thesis was titled «Application Profile for the Collection “Eptanisiaka” in DSpace Platform».
In 2012-2013 he attended Master Studies in Multimedia Engineering at Paris Rene Descartes University. For the accomplishment of his thesis titled «Construction of an ontology from a knowledge corpus for a microbial cell production and stabilization system», he worked briefly at the Institute of Agronomic Research (INRA) in Paris.
During 2014-2016 he also accomplished a Master degree in Management of Cultural Resources and New Technologies, at the Ionian University. He graduated with 8.6 (excellent) and his thesis had the title «Development of an Internet Archive to Host the Research: Figures of Greek Leadership and Anti-Leadership from 1800 to 1989».
During his professional and academic career, he participated in workshops, conferences, in the broad field of information science and currently he is working as an Information Developer – Technical Writer.
Ph.D Dissertation Title:
Exploration of Patterns, Correlation and Similarities in Greek Online News Media
Summary:
Online news is undoubtedly a fundamental part of everyday human activities. Like the TV and the radio, its predecessors, online news present certain issues. One of these issues is the great similarity observed among news articles that cover a specific event, published by different online media. This research aims to explore this phenomenon, and investigate correlations between news media. To do so, a dataset will be formed, by extracting news text from online articles, published by Greek news media. Based on this dataset we are going to define and describe the similarity parameters and how these affect it. We are interested in including to our research a plethora of closely-related topics, such as evaluating the degree of similarity, tracking news and their development in time, identifying original news and instances of bias in the text body. In the process we are going to utilize techniques and methodologies from various fields, such as machine learning.
Publications during Ph.D studies:
Kapellas, N. and Kapidakis, S. (2022). A Text Similarity Study: Understanding How Differently Greek News Media Describe News Events. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – KEOD, ISBN 978-989-758-614-9; ISSN 2184-3228, pages 245-252. DOI: 10.5220/0011589700003335