Analysis of application of existing fake news recognition techniques to counter information propaganda
DOI:
https://doi.org/10.18372/2225-5036.26.14942Keywords:
fake news, neural networks, information influence counteraction, information propaganda, Fakedetector, UDF, HC-CB-3Abstract
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.
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