Models, Tools, and Applications for Qualitative Analysis of Online News Content in Non-English Contexts

Introduction. Digital news media today is very important for public discussions. However, many qualitative studies, including AI-supported research, are based only on English-language texts. Computational tools and methodological frameworks often work well for English, but they are not always suitable for multilingual data. Because of this, cultural and linguistic differences are sometimes lost. This situation shows the need for approaches that can bring together theoretical knowledge and practical tools for qualitative analysis of online news in different languages.

Goals and Methods. The main goal of this research is to review theoretical and analytical models, to collect and compare computational tools and linguistic resources, and finally to join these insights into one conceptual - methodological framework. This framework supports qualitative analysis of online news with help of AI in non-English contexts. The research is organised in three phases: i) systematic review of theoretical models in media and news analytics, ii) benchmarking of computational tools and linguistic resources for non-English corpora, and iii) conceptual synthesis that results in a framework with workflow protocols. Data is collected from literature and tool reviews, and analysis done using thematic synthesis and comparative evaluation.

Results. Our research produces a review of how models can be adapted to different languages, an annotated list of computational tools with benchmarks for non-English data, and a new AI-enhanced framework with workflow protocols for media news analysis.

Conclusions. The study offers methodological contributions that make qualitative media studies more inclusive and sensitive to cultural and language diversity. By connecting theoretical models with AI-based tools, it opens a way for more systematic and rigorous analysis of multilingual online news, which is important for both scientific work and practical applications.