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SWAROG Project Approach to Fake News Detection Problem

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International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023) (CISIS 2023, ICEUTE 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 748))

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Abstract

We often come across the seemingly obvious remark that the modern world is full of data. From the perspective of a regular Internet user, we perceive this as an abundance of content that we unintentionally consume every day, including links and amusing images that we receive from friends and content providers via webpages, social media, and other sources. Consequently, some of this information is only loosely related to the truth. This problem is one of the challenges the SWAROG project is intended to address. SWAROG is an ongoing Polish research project, which involves the creation of artificial intelligence algorithms for the automatic classification and detection of so-called fake news. In this paper, we report the recent project’s achievements regarding fake news detection, analyse and discuss the pitfalls the existing solutions run into concerning data annotation, and explain the project approach to deliver services for determining the credibility of information published in public space.

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Acknowledgments

This publication is funded by the National Center for Research and Development within INFOSTRATEG program, number of application for funding: INFOSTRATEG-I/0019/2021-00.

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Authors and Affiliations

  1. Bydgoszcz University of Science and Technology, Bydgoszcz, Poland

    Rafał Kozik, Marek Pawlicki & Michał Choraś

  2. Wrocław University of Science and Technology, Wrocaław, Poland

    Joanna Komorniczak, Paweł Ksieniewicz & Aleksandra Pawlicka

  3. University of Warsaw, Warszawa, Poland

    Rafał Kozik, Joanna Komorniczak, Paweł Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki & Michał Choraś

Authors
  1. Rafał Kozik
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  2. Joanna Komorniczak
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  3. Paweł Ksieniewicz
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  4. Aleksandra Pawlicka
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  5. Marek Pawlicki
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  6. Michał Choraś
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Corresponding author

Correspondence to Rafał Kozik .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. School of Industrial, Computer and Aerospace Engineering, University of Leon, León, Spain

    Hilde Pérez García

  3. Department of Mechanical Engineering, University of La Rioja, Logroño, Spain

    Francisco Javier Martínez de Pisón

  4. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. Applied Computational Intelligence, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  7. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    José Luis Calvo Rolle

  8. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  9. Faculty of Science, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kozik, R., Komorniczak, J., Ksieniewicz, P., Pawlicka, A., Pawlicki, M., Choraś, M. (2023). SWAROG Project Approach to Fake News Detection Problem. In: García Bringas, P., et al. International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). CISIS ICEUTE 2023 2023. Lecture Notes in Networks and Systems, vol 748. Springer, Cham. https://doi.org/10.1007/978-3-031-42519-6_8

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