A Framework for Analyzing Digital Discourse Strategies in Multilingual Communication

Thesis Abstract

In an increasingly globalized digital environment, multilingual communication has become pervasive across social media platforms, online forums, and digital marketing channels, raising critical challenges for understanding and analyzing discourse strategies employed by multilingual users. This study addresses the gap in existing theoretical models by developing a comprehensive analytical framework to examine how multilingual speakers navigate, code-switch, and employ various discourse tactics in digital contexts. The primary aim is to formulate a systematic, adaptable framework that captures the strategic choices in digital discourse among multilingual users, with specific objectives to identify common discourse strategies, assess contextual determinants influencing these strategies, and propose a model that integrates linguistic, cultural, and technological factors. Employing a mixed-method research design, the study combines qualitative thematic analysis with quantitative statistical techniques to capture the multifaceted nature of digital multilingual discourse. The population comprises 300 active bilingual and multilingual users engaging in digital communications within social media groups and online discussion forums in multilingual regions. A stratified random sampling technique ensures diverse participant representation across languages, age groups, and digital usage patterns. Data collection instruments include structured online surveys to gather demographic and usage information, complemented by in-depth semi-structured interviews with 30 selected participants to explore discourse strategies in context. Digital discourse samples—transcribed chat logs, social media posts, and forum contributions—serve as primary data sources, analyzed via thematic analysis for qualitative insights and coding for the identification of recurrent strategic patterns. To validate the framework, the study applies regression analysis to evaluate the relationships between linguistic choices and contextual variables such as audience type, communicative goal, and cultural background. Factor analysis aids in identifying underlying dimensions of discourse strategies, while the theoretical foundation draws from Gumperz’s (1982) Conversational Code-Switching Theory and Spolsky’s (1984) Language Policy Framework, adapted to the digital context. These theories inform the development of a multidimensional model that accounts for cognitive, social, and technological factors influencing discourse strategies. Expected findings include the identification of core digital discourse strategies such as language switching, hybrid language use, and strategic use of translanguaging, along with context-dependent variations influenced by audience familiarity, technological affordances, and cultural norms. The analysis anticipates revealing significant correlations between discourse strategies and variables such as age, digital literacy, and cultural identity. The study provides a nuanced understanding of how multilingual users employ strategic communication tactics to negotiate identity, establish social cohesion, and achieve communicative goals online. This research contributes to knowledge by establishing a novel framework tailored to the digital realm, integrating linguistic, socio-cultural, and technological factors, thus extending existing theories into the digital communication landscape. It offers practical insights for educators, platform developers, and policymakers aiming to foster inclusive digital environments and improve intercultural communication. The study concludes that understanding digital discourse strategies in multilingual contexts enhances comprehension of language dynamics online and supports the development of more effective communication tools. Recommendations include training on strategic multilingual communication for online users, designing platform algorithms that recognize and support diverse language practices, and further empirical validation of the proposed framework across different digital platforms and cultural settings. Future research could explore longitudinal dynamics of digital discourse strategies and examine the impact of emerging technologies like artificial intelligence in mediating multilingual interactions. Overall, the study advances theoretical understanding and offers a pragmatic model for analyzing and enhancing multilingual communication strategies in digital environments.