Sociolinguistic analysis of Twitter in multilingual societies

Suin Kim, Ingmar Weber, Li Wei, Alice Oh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

In a multilingual society, language not only reflects culture and heritage, but also has implications for social status and the degree of integration in society. Different languages can be a barrier between monolingual communities, and the dynamics of language choice could explain the prosperity or demise of local languages in an international setting. We study this interplay of language and network structure in diverse, multi-lingual societies, using Twitter. In our analysis, we are particularly interested in the role of bilinguals. Concretely, we attempt to quantify the degree to which users are the "bridge-builders" between monolingual language groups, while monolingual users cluster together. Also, with the revalidation of English as a lingua franca on Twitter, we reveal users of the native non-English language have higher influence than English users, and the language convergence pattern is consistent across the regions. Furthermore, we explore for which topics these users prefer their native language rather than English. To the best of our knowledge, this is the largest sociolinguistic study in a network setting.

Original languageEnglish
Title of host publicationHT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery
Pages243-248
Number of pages6
ISBN (Print)9781450329545
DOIs
Publication statusPublished - 1 Jan 2014
Event25th ACM Conference on Hypertext and Social Media, HT 2014 - Santiago, Chile
Duration: 1 Sep 20144 Sep 2014

Other

Other25th ACM Conference on Hypertext and Social Media, HT 2014
CountryChile
CitySantiago
Period1/9/144/9/14

Keywords

  • multilingualism
  • social media
  • sociolinguistics
  • topic modeling

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Cite this

Kim, S., Weber, I., Wei, L., & Oh, A. (2014). Sociolinguistic analysis of Twitter in multilingual societies. In HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media (pp. 243-248). Association for Computing Machinery. https://doi.org/10.1145/2631775.2631824