ANALYSIS OF TARGETED CONSTRUCTS IN THE INFORMATION FLOWS OF TELEGRAM CHANNELS

Abstract

The growing saturation of the business environment by information leads to increasing the importance of fast and efficient processing with information flows for making management decisions. Omni-channel and information saturation of the social environment of human activity, and the increasing complexity of decision-making by companies due to this, prompts the constant development of communicative and analytical technologies based on them. The study is based on interdisciplinary approaches to the analysis of information from open sources in socio-economic research and aims to develop applied approaches to the identification and analysis of information constructs in information flows. Nowadays, information constructs take on various forms, namely: brand popularity, viral user-generated content, propaganda, fakes, etc. Working with the information environment is becoming a significantly important component of state, sectoral, corporate and personal development strategies. The paper describes the author’s methodology for studying information constructs, which includes approaches to collecting data from various open channels, structuring and cataloguing information sources, pre-processing and statistical analysis of text messages, developing semantics of analysis, preparing machine learning models, testing of the effectiveness of using various models, and forecasting the existing and new information constructs in communication channels.