MANAGEMENT OF UNSTRUCTURED DATA WHEN RESEARCHING THE IMPACT OF MASS INFORMATION MEDIA ON HUMAN SOCIAL SECURITY IN THE CONDITIONS OF HYBRID WARFARE
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Varnalii Z.S. , Fedchenko O. P. ,   Military Institute of Taras Shevchenko National University of Kyiv, Pampukha I.V. ,   Military Institute of Taras Shevchenko National University of Kyiv, Lavrinchuk O.V. ,   National Defence University of Ukraine, Mykytiuk O.P. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: November 2023

Russia’s war against Ukraine significantly affects the state of Ukraine's national security and the social security of every Ukrainian. Its negative consequences are both direct and indirect in nature, which is a real social threat. The degree (level) of protection of the vital socio-economic interests of a person (person), his rights, freedoms and values from internal and external, real, and potential threats is an important element of assessing the state of the state's national security. In the conditions when Russia's military and informational aggression is directed against Ukraine, the study of issues of media influence, both from the inside and from the outside, on public opinion, moods among different categories of citizens, ethnic communities, their manifestations, and expression of will regarding political and economic transformations in the country is important and relevant. An important element of the analysis of the state of human social security in the conditions of a hybrid war is the study and assessment of the structure and dynamics of the development of public opinion in certain regions of the country. One of the most serious ways of assessing public opinion and forecasting its changes is, along with sociological research, monitoring the influence of mass media on the population of the region. Traditionally, such influence is assessed by monitoring local mass media and evaluating them according to a few formal qualities, such as audience coverage, ownership structure, political connections of owners, signs of commitment to one or another political position, etc. Such an analysis allows with a certain degree of accuracy to record the presence of various centers of influence on public opinion, however, it is completely insufficient to assess the real influence of these centers on public opinion itself, since it does not allow to assess exactly how this or that information influenced its consumers. When processing information flows from mass media, social networks, e-mail, etc., there are constant problems of processing large volumes of data containing textual information, which, although related to location, is not presented in traditional structured spatial formats, and does not explicitly contain geographic coordinates. Instead, its connection to geography is hidden in unstructured or semi-structured formats based on plain text. Unstructured data is usually considered to be information that does not have a predefined data structure or is not organized in a fixed order. Unstructured data, as a rule, is presented in the form of text, which can contain data such as dates, numbers, and facts, which immediately leads to difficulties in analysis, especially in the case of using traditional programs designed to work with structured data. Unstructured data is usually stored in human-readable formats, although such formats make automatic data management difficult. In connection with the rapid pace of progress and development of geoinformation systems, the specialists of the company Esri (USA) comprehensively approached the problem of the combined use of unstructured data and geoinformation systems. The Locate XT module was created to solve this problem. The new ArcGIS LocateXT add-on is designed to search, extract, and map data from plain text, including geographic coordinates in various formats, place names, and other location-related information. Geoinformation technology LocateXT is an effective tool for research and analysis of the impact of mass media in the conditions of a hybrid war between Russia and Ukraine on human social security, efficiency, completeness and quality of information and spatial support of management processes. It helps speed up decision-making procedures based on quality management of unstructured data obtained from disparate sources. Modern geoinformation tools in the decision-making support system provide an opportunity to systematize unstructured data, determine their geospatial reference, and subsequently conduct analysis and form the obtained results in a form convenient for perception.