Linguistic Landscape Studies and Multilingual Communication
Summary
Linguistic landscape studies examine the visible display of language in public and semi‐public spaces, encompassing street signs, commercial advertisements, official notices and digital platforms. Originating from the sociolinguistic interest in public signage, this field has expanded to encompass both physical and virtual environments, reflecting the interplay of language policy, identity, ideology and power relations. Multilingual communication within these landscapes reveals how different linguistic communities negotiate space, assert status and express solidarity. Methodological approaches range from qualitative ethnography and semiotic analysis to quantitative mapping, computational vision and social media mining. The research underscores the role of linguistic diversity in urban governance, tourism, education and social integration, highlighting practical applications in policy planning, heritage preservation and public health messaging. By exploring how written language shapes—and is shaped by—mobility, migration and digital connectivity, scholars can illuminate broader processes of globalisation and community formation. This synthesis offers an accessible yet rigorous account of current trends, emphasising both foundational concepts and cutting‐edge techniques that characterise contemporary investigations in linguistic landscape and multilingual communication.
Research from Nature Portfolio
No recent Nature Portfolio content available.
Linguistic Landscape Studies and Multilingual Communication publication trend
The graph below shows the total number of articles in linguistic landscape studies and multilingual communication across all publications each year (not limited to Nature Index journals).
Technical terms
Linguistic landscape: The totality of written language displays in public spaces, including signage, billboards and place names, that reflect sociocultural and policy dynamics.
Multilingual communication: The use of two or more languages within a communicative context, encompassing both written and spoken exchanges across diverse populations.
Optical character recognition (OCR): A computer vision technique for detecting and converting textual content from images into machine-readable text.
Superdiversity: A condition of heightened demographic complexity characterised by multiple variables such as language, ethnicity and migration status within a locale.
Geospatial analytics: The application of statistical and computational methods to spatial data, enabling the mapping and interpretation of geographic patterns.
References
- Decoding multiculturalism through linguistic landscapes: a deep learning–based OCR analysis of street view images. Urban Informatics (2025).
- Exploring the linguistic landscape of geotagged social media content in urban environments. Digital Scholarship in the Humanities (2018).
- The (un)making and (re)making of Guangzhou’s ‘Little Africa’: Xiaobei’s linguistic and semiotic landscape explored. Language Policy (2024).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Turn complex research questions into confident strategic decisions
When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.
Benchmark your performance against global peers using robust, methodologically sound analysis.
Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.
Gain tailored, decision-ready recommendations aligned to your strategic priorities.
Talk to us to learn more about our data dashboards and bespoke strategy reports.
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.
Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:
Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.
Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.
Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.
Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.