Methodology of monitoring negative psychological influences in online media

Abstract

The experience of the military aggression of the Russian Federation against Ukraine has shown the relevance and necessity of understanding the problems of moral and psychological support in the Armed Forces of Ukraine in modern conditions. The problem of constant misinformation of the population, the spread of propaganda and the implementation of destructive psychological influence in the interests of the enemy is very sensitive. The simplest tool for distribution misinformation is the Internet (its easy access and wide popularity). The goal of the article is to develop a methodology for monitoring negative psychological influences in online media. The basis of develop methodology is the build a mathematical model using a 4th order polynomial trendline. To determine the number of text messages that were simultaneously processed in statistical analysis, the Hurst exponent was applied. Indicators of negative psychological influences in text messages are selected. Statistical observation is carried out at the expense of a database with text messages from online media. The coefficients of the polynomial regression model are calculated using the least squares method for using a spreadsheet processor Microsoft Excel, or by solving a system of linear algebraic equations using Cramer's method. It has been proved that the developed mathematical model for monitoring negative psychological influences is adequate over the time interval under study. Due to the developed methodology for monitoring negative psychological influences in online media, it is possible to mathematically describe the process of the influence of text messages on a person. The mathematical model underlying the methodology can be used not only at the monitoring stage, but also at the stage of counteracting destructive psychological effects, as well as for the implementation of preventive measures to prevent the spread of such effects by taking into account the frequency and common ways of spreading negative psychological effects in text messages online media. It should be noted that the developed methodology can be used to automate online media monitoring in order to timely identify information threats to military command and control bodies and the personnel of the Armed Forces of Ukraine in the context of ensuring the information security of the state.

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“…• Marc Baaden, CNRS, France [3] • Liudmyla Bilousova, Academy of Cognitive and Natural Sciences, Ukraine & Israel [4] • Pablo Garcia Bringas, University of Deusto, Spain [5] • Oleksandr Burov, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine & University of Vienna, Austria [6] • Nadire Cavus, Near East University, North Cyprus [7] • El-Sayed M. El-Horbaty, Ain Shams University, Egypt [8] • Ramón Fabregat, University of Girona, Spain [9] • Irina Georgescu, Bucharest University of Economics, Romania [10] • Mustansar Ali Ghazanfar, University of East London, United Kingdom [11] • Anita Goel, University of Delhi, India [12] • Carina S. Gonzalez, Universidad de La Laguna, Spain [13] • Sven Hartmann, Clausthal University of Technology, Germany [14] • Michail Kalogiannakis, University of Crete, Greece [15] • Arnold Kiv, Ben-Gurion University of the Negev, Israel [16] • Hennadiy Kravtsov, Kherson State University, Ukraine [17] • Olena Kuzminska, National University of Life and Environmental Sciences of Ukraine, Ukraine [18] • Francesco Lelli, Tilburg University, Netherlands [19] • Chung-Sheng Li, PwC, United States [20] • Piotr Lipiński, Technical University of Lodz, Poland [21] • Alessandra Lumini, University of Bologna, Italy [22] • Svitlana Lytvynova, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine [23] • Maiia Marienko, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine [24] • Rashid Mehmood, King Abdulaziz University, Saudi Arabia [25] • Iryna Mintii, Institute for Digitalisation of Education of the NAES of Ukraine, Ukraine [26] • Natalia Morze, Borys Grinchenko Kyiv University, Ukraine [27] • Vincenzo Moscato, University of Naples "Federico II", Italia [28] • Thomas Moser, St. Pölten University of Applied Sciences, Austria [29] • Ranesh Kumar Naha, University of Tasmania, Australia [30] • Viacheslav Osadchyi, Borys Grinchenko Kyiv University, Ukraine …”