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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CITATION STYLE
Choraś, M., Giełczyk, A., Demestichas, K., Puchalski, D., & Kozik, R. (2018). Pattern recognition solutions for fake news detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11127 LNCS, pp. 130–139). Springer Verlag. https://doi.org/10.1007/978-3-319-99954-8_12
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