Analysis of application of existing fake news recognition techniques to counter information propaganda

Authors

DOI:

https://doi.org/10.18372/2225-5036.26.14942

Keywords:

fake news, neural networks, information influence counteraction, information propaganda, Fakedetector, UDF, HC-CB-3

Abstract

The problem of detecting false (fake) information transmitted through various channels on the Internet is
becoming increasingly important. One type of such information is targeted propaganda, which has a specific purpose and uses specially created resources. To combat such informational influence, one can use already developed tools to detect fake news. This article considers the features of information propaganda and approaches to combating it; the effectiveness of several well-known techniques for recognizing fake news; the analysis of possible efficiency of these techniques in the context of possibility of their application for counteraction to purposeful information influences was carried out. Based on the study, the most promising algorithm for recognizing information propaganda in social networks was selected.

References

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Published

2023-02-24

How to Cite

Shtefaniuk , Y., Opirskyy , I., & Harasymchuk, O. (2023). Analysis of application of existing fake news recognition techniques to counter information propaganda. Ukrainian Scientific Journal of Information Security, 26(3), 139–144. https://doi.org/10.18372/2225-5036.26.14942

Issue

Vol. 26 No. 3 (2020)

Section

Cybersecurity & Critical Information Infrastructure Protection (CIIP)

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