Abstract

Electronic documents, such as contracts, court decisions, financial reports, etc., can contain valuable information about social factors that affect the security of financial and legal relations. Analysis of these documents helps to identify the interrelationships between public trust, power, technology, and other social phenomena in the context of their impact on the security of individuals and society as a whole. The purpose of the article is to determine the possibilities of using electronic documents as resources for sociological research to assess the level of security of financial and legal relations. The study uses historical and logical methods to highlight the current state of affairs in the field of digital data analytics, and the methods of comparison and generalization form the basis for classifying risk indicators available in the texts of electronic documents. It is indicated that in the context of the spread of digital interaction between people, understanding the sociological aspects of their behaviour reflected in electronic documents becomes key to assessing the risks of illegal financial transactions. The article substantiates the important role of electronic documents as a valuable resource for sociological research. The study is based on an interdisciplinary approach, highlighting the possibilities of integrating sociological analysis, network research, linguistic pattern recognition and data mining methods to obtain meaningful information from large amounts of electronic documents. The main results of the study include the classification of indicators of illicit financial transaction behaviour present in the texts of electronic documents. The study highlights the practical value of using electronic documents in sociological research, offering practical guidance for government officials, lawyers, and analysts to improve risk assessment and develop security measures. The materials systematized in this study demonstrate the potential of open-source intelligence (OSINT) and advanced data analytics to build meaningful sociological models using electronic documents, highlighting their importance in addressing contemporary security analytical challenges

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