This article examines digital transformation of scientific discourse from the perspective of new models in information and communication space. The study aims to identify structural, linguistic, and multimodal characteristics of scientific texts in digital format using content analysis of ten scientific articles published in Kazakh in humanities and social sciences, published in 2023-2025 online in journals listed by the Committee for Quality Assurance in Science and Higher Education of Kazakhstan. The study coded parameters such as thematic area, annotation and keyword system, compositional structure of the text, terminological consistency, geography of sources, frequency of use of visual elements (tables, diagrams, illustrations) and hyperlinks, and conducted a quantitative and qualitative analysis. The study found that the IMRAD-based model is preserved in digital scientific discourse in Kazakh, but the text acquired a networked and interactive character due to open access, DOIs, online platform capabilities, and multimodal components. A number of articles noted incomplete use of hypertext links and visual tools in the digital format, inconsistency in presentation of sources, and violations of linguistic norms. The results helped to assess the level of scientific discourse digital modernization in the national linguistic space and describe new models of scientific communication in information and communication space.