Development of a method for determining the indicators of manipulation based on morphological synthesis

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.258675

Keywords:

morphological synthesis, content analysis of text messages, target audience, manipulation, information and psychological impact

Abstract

Research on the development of methods for identifying signs of hidden manipulation (destructive information and psychological impact) in text messages that are published on Internet sites and distributed among users of social networks is relevant. One of the main problems in the development of these methods is the difficulty of formalizing the process of identifying signs of manipulation in text messages of social network agents. To do this, based on morphological synthesis, it is necessary to determine relevant indicators for analyzing text messages and criteria for making a decision about the presence of signs of manipulation in text messages.

Based on morphological synthesis, a method for determining manipulation indicators in text messages was developed, taking into account the achievements of modern technologies of intelligent content analysis of text messages, machine learning methods, fuzzy logic and computational linguistics, which made it possible to reasonably determine a group of indicators for evaluating text messages for signs of manipulation.

The stages of the method include evaluating the text message at the level of perception by the indicator of text readability, at the phonetic level by the indicator of emotional impact on the subconscious, at the graphic level by the indicator of text marking intensity, and calculating the integral indicator for making a decision about the presence of manipulation in the text message.

Based on the proposed method, specialized software was developed that provided 13 % greater accuracy in evaluating messages for manipulative impact compared to the known method of expert evaluations, which reduced the influence of the subjective factor on the evaluation result

Author Biographies

Serhii Yevseiev, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Science, Professor, Head of Department

Department of Cyber Security

Vitaliy Katsalap, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Associate Professor

Department of Information Technologies Employment and Information Security

Yurii Mikhieiev, Zhytomyr Military Institute named after S. P. Korolyov

PhD

Department of Information and Cyber Security

Scientific Center

Vladyslava Savchuk, Zhytomyr Military Institute named after S. P. Korolyov

PhD

Department of Information Warfare

Yurii Pribyliev, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Doctor of Technical Sciences, Associate Professor

Department of Information Technologies Employment and Information Security

Oleksandr Milov, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Sciences, Professor

Department of Cyber Security

Serhii Pohasii, National Technical University “Kharkiv Polytechnic Institute”

PhD, Associate Professor

Department of Cyber Security

Ivan Opirskyy, Lviv Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Information Security

Nataliia Lukova-Chuiko, Taras Shevchenko National University of Kyiv

Doctor of Technical Sciences, Associate Professor

Department of Cyber Security and Information Protection

Ihor Korol, Uzhhorod National University

Doctor of Physical and Mathematical Sciences, Professor, Vice-Rector for Administrative Policy and Research

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Published

2022-06-30

How to Cite

Yevseiev, S., Katsalap, V., Mikhieiev, Y., Savchuk, V., Pribyliev, Y., Milov, O., Pohasii, S., Opirskyy, I., Lukova-Chuiko, N., & Korol, I. (2022). Development of a method for determining the indicators of manipulation based on morphological synthesis . Eastern-European Journal of Enterprise Technologies, 3(9 (117), 22–35. https://doi.org/10.15587/1729-4061.2022.258675

Issue

Vol. 3 No. 9 (117) (2022): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2022 Serhii Yevseiev, Vitaliy Katsalap, Yurii Mikhieiev, Vladyslava Savchuk, Yurii Pribyliev, Oleksandr Milov, Serhii Pohasii, Ivan Opirskyy, Nataliia Lukova-Chuiko, Ihor Korol

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