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The Twitter of Babel: mapping world languages through microblogging platforms
Delia Mocanu1, Andrea Baronchelli, Nicola Perra
1Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, Massachusetts, USA.
Plos One
|May 3, 2013
Summary
Digital data from human activities enables large-scale socio-technical system analysis. This study uses microblogging data to explore global linguistic trends and geography, revealing patterns in language and tourism.
Area of Science:
- Computational Social Science
- Digital Humanities
- Sociolinguistics
Background:
- The digital data revolution offers unprecedented opportunities for analyzing socio-technical systems.
- However, questions remain regarding the reliability and biases of big data as proxies for social life.
- Large-scale linguistic analysis requires extensive data and resources, previously a significant barrier.
Purpose of the Study:
- To survey worldwide linguistic indicators and trends using a large-scale microblogging dataset.
- To investigate the potential of geolocalized open data for improving social phenomenon analysis.
- To develop new indicators for understanding social dynamics within specific communities.
Main Methods:
- Analysis of a large-scale dataset of geolocalized microblogging posts.
- Application of data mining techniques to extract linguistic indicators.
- Examination of language geography at various scales, from country-level to city neighborhoods.
Main Results:
- Demonstrated the feasibility of studying language geography using microblogging data at high resolution.
- Identified linguistic homogeneity across different countries.
- Revealed seasonal touristic patterns and the geographical distribution of languages in multilingual regions.
Conclusions:
- Geolocalized open data sources provide a powerful tool for socio-technical system analysis.
- Microblogging data enables detailed investigation of language geography and social phenomena.
- This approach can enhance current analytical methods and develop novel social indicators.
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