Understanding Language Diversity in Local Twitter Communities
| Autor: | Mohamed F. Mokbel, Amr Magdy, Thanaa M. Ghanem, Mashaal Musleh |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Emergency management
business.industry media_common.quotation_subject 05 social sciences Cultural group selection 0507 social and economic geography Language diversity Representativeness heuristic World Wide Web Dominance (ethology) Geography 0509 other social sciences 050904 information & library sciences business 050703 geography Diversity (politics) media_common |
| Zdroj: | HT |
| DOI: | 10.1145/2914586.2914612 |
| Popis: | Twitter is one of the top-growing online communities in the last years. In this poster, we study the language usage and diversity in Twitter local communities. We identify local communities in Twitter on a country-level. For each community, we examine: (1) the language diversity, (2) the language dominance and how it differs from local to global views, (3) demographic representativeness of tweets, and (4) the spatial distribution of different cultural groups within the community. We show fruitful insights about language usage on Twitter which can be exploited in language-based applications on top of tweets, e.g., lingual analysis and disaster management. In addition, we provide an interactive tool to explore the spatial distribution of cultural groups, which provides a low-effort and high-precision localization of different cultural groups. |
| Databáze: | OpenAIRE |
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