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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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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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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DOI: https://doi.org/10.1007/978-3-031-42519-6_8
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