МЕТОДИ ДЕСТРУКТИВНОГО ВПЛИВУ ТА ЗАХИСТУ КОНТЕНТУ В СОЦІАЛЬНИХ МЕРЕЖАХ

Abstract

The work is devoted to the topical issue of protection of society from destructive influences in social networks. It has been proven that in order to prevent such influences, it is necessary to evaluate not only the materials contained in texts, audio and video content, but also the tone of the information disseminated in them. Tonality is one of the characteristics of thought or emotion and is currently used as the main parameter for classifying texts by thematic categories. This is due to the convenience and efficiency of classification according to this principle and greatly simplifies other tasks for the classification of text posts. Formed categories of tonal assessment. The possibility of assessing mood by one-dimensional or multidimensional parameter is proved. The possibility of using two approaches to classify the tonality of the text is shown. The first is the automatic analysis of digital texts by computers with elements of machine learning or teacher training. The second - with the help of dictionaries (thesauri) connected to the program. The shortcomings that occur in automatic systems for determining the key are given. A new algorithm for automatic complexes is proposed. It is noted that if the quality of the text analysis system is assessed by how well it agrees with a person's opinion on the emotional assessment of the studied text, then such indicators as accuracy and completeness can be used. Calculations of these parameters are given. When considering a publication presented in the form of an image, it is necessary to take into account the parameters of brightness, contrast, and color combinations, as these indicators can potentially be used by distributors of destructive content to attract the attention of the network. users. It is noted that the photo materials may contain various radical signs and symbols that may relate to the propaganda of a particular prohibited organization or ideology. The analysis of possible methods of influence on consciousness of the user by social networks is carried out.