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Pattern Recognition Solutions for Fake News Detection

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Computer Information Systems and Industrial Management (CISIM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11127))

Abstract

Information is a crucial value nowadays in network digital societies. Therefore, the phenomenon of “fake news” is a serious problem in modern media and communication, e.g. with respect to information spreading within the society about current events and incidents. Fake news are currently a problem for media and broadcasting sector, for citizens, but also for homeland security. In this paper we present and overview the problem of fake news, we show the ideas and solutions for fake news detection, and we present our initial results for one of such approaches based on forged images detection.

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Author information

Authors and Affiliations

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

    Michał Choraś, Agata Giełczyk & Rafał Kozik

  2. Institute of Communication and Computer Systems - ICCS National Technical University of Athens, Athens, Greece

    Konstantinos Demestichas

  3. ITTI Sp. z o.o., Poznan, Poland

    Damian Puchalski

Authors
  1. Michał Choraś
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  2. Agata Giełczyk
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  3. Konstantinos Demestichas
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  4. Damian Puchalski
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  5. Rafał Kozik
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Corresponding author

Correspondence to Agata Giełczyk .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. Warsaw University of Technology, Warsaw, Poland

    Władysław Homenda

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Choraś, M., Giełczyk, A., Demestichas, K., Puchalski, D., Kozik, R. (2018). Pattern Recognition Solutions for Fake News Detection. In: Saeed, K., Homenda, W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science(), vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-99954-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99953-1

  • Online ISBN: 978-3-319-99954-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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