Abstract: The article is devoted to the analysis of research on the intertextuality of news headlines in Chinese linguistics. The purpose of the study is to present various methodological approaches to the study of intertextuality, current trends in the consideration of the intertextuality of news headlines in Chinese scientific literature. The subject of the research is the concepts of intertextuality implemented in news headlines in Chinese. The material is provided by Chinese scientific publications devoted to the study of the intertextuality of news headlines from 2006 to 2024, the analysis of which made it possible to identify relevant areas of her research. The sources of scientific literature are key Chinese scientific platforms: China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Social Science Library, etc., on the basis of which a detailed and representative data analysis was conducted. The research methods combine quantitative, qualitative and interpretative analysis, linguistic description, transdisciplinary comparison, corpus method and bibliometric tools that allow us to present the current state of research on the intertextuality of news headlines in Chinese. The scientific novelty lies in the fact that for the first time a review of studies on the intertextuality of news headlines based on Chinese scientific literature has been conducted. The results of the study indicate that approaches to studying the intertextuality of news headlines have changed significantly. At the first stage (until 2006), research on news headlines was conducted within the framework of traditional linguistic and textual analysis. At the second stage (2006-2015), the field of research shifted to the field of discursive analysis. At the third stage (2016-2024), the intertextuality of news headlines becomes the object of transdisciplinary research in linguistics, journalism, sociolinguistics, communication, political science, history, and others. The obtained research results can serve as a basis for further research in this field. As conclusion the author provides an intertextual analysis of news headlines in the new media environment of the Internet, which is interwoven into the context of theoretical discussions. With the development of digital technologies, the intertextuality of online media news headlines is becoming the focus of transdisciplinary research.

Abstract: The article is devoted to identifying common patterns of rhizomatic news headlines in Russian and Chinese leading online media. The subject of the study is the rhizomatic nature of digital media news headlines, which is manifested in the complex interrelationships of texts in cyberspace. The material is the headlines of international news from leading Russian and Chinese digital media for 2024. The scientific novelty is determined by the fact that for the first time an attempt has been made to conduct a comparative study on the main manifestations of the rhizomatic nature of news headlines in Russian and Chinese leading digital media. Being an announcement and hyperlink of an Online media news article, complex digital headline texts receive typical rhizomatic characteristics such as: interconnectedness, heterogeneity, multiplicity, nonlinearity, openness, dynamism, the status of which is not clearly defined. Their analysis determines the relevance of the study.  The research methods combine the classification of linguistic units, linguistic description, functional and semantic analysis, and comparison to identify common rhizomatic properties of news headlines from leading Russian and Chinese online media. The results of the study show that rhizomaticity is characteristic of the international news headlines of Russian and Chinese leading digital media. An analysis of the complex of news headlines in Russian and Chinese digital media based on 6 main characteristics of the rhizome showed that rhizomatic relationships are found in news headline texts, which exhibit the following properties: citation, hypertextuality, intertextuality, precedent, heterogeneity, multidimensionality, multiplicity, discreteness, fragmentation, out-of-structure, nonlinearity, deterritorialization, reterritorialization, decentralization openness and dynamism. The obtained research results can be the basis for further research in this field, and used in the practice of teaching university courses in relevant disciplines. The conclusion of the study is that rhizomaticity is the main attribute of the texts of news headlines in Russian and Chinese leading digital media.