| Abstract: |
This study investigates how digital communication fosters linguistic diversity and adaptation across various online platforms. As the digital age transforms traditional modes of interaction into text-based exchanges, platforms such as Twitter, WhatsApp, Facebook, Telegram, and TikTok emerge as spaces where language evolves rapidly. The study explores how sociocultural and technological factors?such as platform design, anonymity, and community norms?shape language variation within these spaces. Focusing on the Ebonyi State University community, the research analyses both quantitative and qualitative data to illustrate how users modify their language based on the unique features of each platform. Key findings highlight the prevalence of abbreviations, emojis, and informal language, all of which reflect broader sociolinguistic trends. The study also examines the role of social variables like age, gender, and identity, alongside platform-specific constraints such as character limits and visual elements. Ultimately, this research provides insight into the dynamic nature of language in digital communication, with the potential of contributing to the understanding of online sociolinguistics and language adaptation in virtual communities. |