English as the Digital World's Lingua Franca - A Survey-Based Study on Non-Native Speakers in Digital Communication

This thesis examines how using English as a digital lingua franca influences the linguistic identity of non-native speakers. Based on a survey of 1,127 participants, it explores how age, frequency of use and regional exposure affect perceived authenticity.

English as the Digital World's Lingua Franca - A Survey-Based Study on Non-Native Speakers in Digital Communication
AI-generated image created with ChatGPT, prompt by author (2025). The image represents the invisible identity negotiations non-native speakers experience when using English online. The overlapping, multilayered shapes symbolize the coexistence of cultural identities and the ongoing adaptation to global communication norms.

Relevance
English is the dominant language on digital platforms, facilitating global communication. However, for non-native speakers, its use can influence how they express themselves and perceive their cultural identity. This research offers important insights for educators, platform designers and international organizations working toward more inclusive digital spaces.

Results
The study found no significant effect of English usage frequency on perceived authenticity. However, younger participants (aged 18 to 24) reported feeling more linguistically authentic than older groups. While regional exposure did not show significant effects, trends suggested that frequent use may build confidence, especially in areas with lower English access. Digital identity is shaped by a complex mix of language use, age and cultural context.

Implications for Practitioners

  • Encourage multilingual expression and recognize diverse forms of English
  • Avoid viewing English as a neutral or universal communication tool
  • Design digital platforms that support code-switching and localized varieties
  • Promote linguistic equity in global education and workplace environments
  • Address generational differences in linguistic confidence and provide targeted support

Methods
The study used a quantitative survey design with 1,127 non-native English speakers from over 30 countries. Participants answered a 16-item questionnaire about their language habits and perceptions. Data were analyzed in RStudio using ANOVA and bootstrapping to test three hypotheses. Although the results were not statistically significant, descriptive trends offered valuable insights into how language, identity and age interact in digital communication.