https://socictopen.socict.org/files/original/4a56f840f2bdc204ab68c603d71af01f.pdf a634c4d21f04eb1a087b6197b7634015 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Possibilities of artificial intelligence in assessing the impact of potentially dangerous texts in modern news discourse: problem of statement Creator An entity primarily responsible for making the resource Karabulatova Irina Description An account of the resource 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. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1051/shsconf/20208801001 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Social Sciences