A Fake News Classification Framework: Application on Immigration Cases

Authors

  • Tatyana Vorobyeva International Hellenic University Author
  • Konstantinos Mouratidis International Hellenic University Author
  • Fotios-Nikolaos Diamantopoulos International Hellenic University Author
  • Panagiotis Giannopoulos International Hellenic University Author
  • Katerina Tavlaridou International Hellenic University Author
  • Christos Timamopoulos International Hellenic University Author
  • Vassilios Peristeras International Hellenic University Author
  • Ioannis Magnisalis International Hellenic University Author
  • Syed Iftikhar H. Shah International Hellenic University Author

DOI:

https://doi.org/10.0000/er922e66

Keywords:

desinformation, fake news, false information, immigration, misinformation

Abstract

In this study we conduct a systematic literature review with the aim of pointing out the characteristics and types of fake news. We use them to formulate a framework to facilitate classification of fake news instances. Using the classification framework of fake news, we analyse 59 different fake news cases regarding immigration. The research team provided a proof of concept of applicability of the proposed framework for categorising immigration fake news cases. Towards this direction, machine learning algorithms were employed to identify association rules among the classification facets of our framework. The findings of the research study show that a number of these rules can be used in order to design a semi-automated tool that fills-in some of the characteristics of our framework and infers the rest, thus utilising the extracted rules. Benefits stemming from this work include a proposition of an easy to use framework for fake news classification, and derivation of commonly occurring patterns that demonstrate how fake news, as well as their types, interrelate.

Author Biographies

  • Tatyana Vorobyeva, International Hellenic University

    Tatyana Vorobyeva earned a Bachelor’s degree in Biomedical Engineering and a specialist’s degree in biotechnical and medical apparatus and systems from Novosibirsk State Technical University, Russia. She holds a Master’s degree in E-Business and Digital Marketing from International Hellenic University, Greece. She has been a senior lecturer at the Department of Sociology and Mass Communications, Novosibirsk State Technical University, and a leading organiser of the annual city conference #konfe_days for students majoring in Marketing, Advertising and Public Relations. Her research interests include learning analytics and news literacy. She is the author and co-author of over 20 scientific papers focused on e-learning and information and communication technologies.

  • Konstantinos Mouratidis, International Hellenic University

    Konstantinos Mouratidis holds a BA in International and European Economics and Politics from the University of Macedonia and an MSc in Data Science from the International Hellenic University. He started his career with a year in business/management consulting, and contributed to the local UNESCO chair. He briefly worked as a data scientist at Zeta Global, and as a freelancer with a focus on computer vision. He currently works as a software engineer for Oracle, working on automating the administration and management of largescale database systems. 

  • Fotios-Nikolaos Diamantopoulos, International Hellenic University

    Fotios-Nikolaos Diamantopoulos holds a Master’s degree in E-Business and Digital Marketing from the International Hellenic University, Greece. His research activities include digital advertising and consumer behaviour. He is interested in studying how fake news and misinformation is spread via social media channels and how digital marketing strategies can boost business growth.

  • Panagiotis Giannopoulos, International Hellenic University

    Panagiotis Giannopoulos holds a Bachelor’s degree in Computer Science from Aristotle University of Thessaloniki and a Master’s degree in E-Business and Digital Marketing from the International Hellenic University. His research interests include social media marketing activities and their effects on brand loyalty and purchase intention. Currently, he is working for Teleperformance Greece providing customer and technical support for the Cosmote Telecommunications Company

  • Katerina Tavlaridou, International Hellenic University

    Katerina Tavlaridou holds a Bachelor’s degree in History and Archaeology from Aristotle University of Thessaloniki and a Master’s degree in E-Business and Digital Marketing from the International Hellenic University. She is currently employed as a team administrative assistant in a customs office and is responsible for customer reports and e-mail marketing.

  • Christos Timamopoulos, International Hellenic University

    Christos Timamopoulos graduated from the International Hellenic University with a Master of Science degree in Data Science. His research interests include the concept of “fake news and misinformation” disseminated through social media. He is also interested in anomaly detection and booking cancellation predictions in realtime data.

  • Vassilios Peristeras, International Hellenic University

    Vassilios Peristeras is Assistant Professor at the International Hellenic University, Thessaloniki, Greece and Associate Research Fellow at the KU Leuven, Belgium. His teaching and research interests focus on the areas of digital transformation, data science for business, business information systems and eGovernment. He has worked for the European Commission, Interoperability Solutions for European Public Administration Programme in charge of semantic interoperability and open data. He has initiated and coordinated several international R&D projects in the area of electronic government. He has published over 100 scientific papers and has served as editor, programme committee member and reviewer in more than 60 journals, books and conferences. He is Department Editor for AI and Government in the journal IEEE Intelligent Systems.

  • Ioannis Magnisalis, International Hellenic University

    Ioannis Magnisalis received his BSc degree in Mathematics from Aristotle University of Thessaloniki, Greece, and the MSc degree in Business Systems Analysis and Design from the CITY University of London. He holds a Ph.D. in the multi-disciplinary field of Information Science and Educational Technologies (2016, Aristotle University of Thessaloniki, Greece). He is a software engineer working since 1999 and has cooperated with various companies in Greece and worldwide (e.g. Intracom, Ericsson, SAP). His interests currently focus on applying semantic web technologies, big, open and linked data and web analytics methods for e-government applications.

  • Syed Iftikhar H. Shah, International Hellenic University

    Syed Iftikhar H. Shah is a researcher and Ph.D. candidate in Electronic Government / Information Systems Management, School of Science and Technology, the International Hellenic University. His academic qualification is MPhil (Software Engineering). Currently he is doing research on government data ecosystems including master data management. He is also actively working on different European Commission research projects including a co-inform project to tackle misinformation. He has enough experience to develop policies and frameworks on IT matters in collaborative environments.

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Published

2020-11-24

Issue

Vol. 11 No. 2 (2020): Communication Today 2/2020

Section

Research studies

License

Copyright (c) 2020 Communication Today

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Vorobyeva, T., Mouratidis, K., Diamantopoulos, F.-N., Giannopoulos, P., Tavlaridou, K., Timamopoulos, C., Peristeras, V., Magnisalis, I., & Shah, S. I. H. (2020). A Fake News Classification Framework: Application on Immigration Cases. Communication Today, 11(2), 118-131. https://doi.org/10.0000/er922e66