Possibilities of artificial intelligence in assessing the impact of potentially dangerous texts in modern news discourse: problem of statement

Abstract

The relevance of the stated problem reflects the study of the “friend-foe” dichotomy, which is clearly represented in the modern news discourse, since it reflects the most significant problems for society: migration, the COVID-19 pandemic, crime, various confrontations, problems of socially vulnerable citizens, etc. The subject of the research is to Refine the parameters for evaluating potentially dangerous texts for the subsequent creation of a library of software modules for theming and classifying news messages, including using AI technologies. Hypothesis: the proposed parameters of the system of interpretation of potentially dangerous text increase the chances of determining the prognostic level of the degree of propensity to illegal actions, so the creation of a digital library will help to quickly analyze the levels of potential dangers for the recipient. The use of digital technologies for psycholinguistic assessment of potentially dangerous texts optimizes the search and tracking of such texts, contributing to the development of measures to ensure the safety of the human psyche in conditions of massive impact on the recipient in order to change his personal attitudes. The author raises the problem of creating a single digital platform for evaluating such texts, noting the need for linguistic priority when creating semantic markup, which will allow us to qualitatively rank potentially dangerous texts. Such work requires the application of interdisciplinary efforts of specialists in the fields of linguistics, psychology, mythology, history, sociology, political science, cultural studies, mathematics, computer science and Digital Humanities. The practical value is unquestionable, since psycholinguodiagnostics of a person does not correlate with the potential danger of texts produced by such a person in society.